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The negative influence of gamification on online communities has received little attention in the available literature. The study examines the adverse effects of gamification during engaging in online communities.

Gap-spotting methods were used to develop the research questions, followed by model development using the social exchange and social-network theories. Data were collected from 429 samples. The study applied partial least squares structural equation modeling to test the research hypotheses followed by ANN application.

The study identified five factors related to gamification that have a significant adverse effect on the mental and emotional well-being of the users. Furthermore, the results of PLS-SEM were then compared through an artificial neural network (ANN) analytic process, revealing consistency for the model. This research presents a theoretical contribution by providing critical insights into online gamers' mental and emotional health. It implies that gamification can even bring mental and emotional disturbance. The resulting situation might lead to undesirable social consequences.

The result highlights the managerial and social relevance from the perspective of a developing country. As respondents are becoming more engrossed in online gaming, managers and decision-makers need to take preventive measures to overcome the dark side of online gaming.

The present study shows that the dark side of gamification has some adverse effects on human mental and emotional health. The study's findings can be used to improve gamification strategies while engaging online communities.

The cold supply chain industry is still emerging and digital transformation is in the nascent stage in this industry. This paper argues that there are various barriers to implementing blockchain technology in the cold supply chain and aims to develop and validate a model for overcoming key barriers to implementing blockchain technology in the cold supply chain.

The adoption of blockchain technology was proposed through interpretive structural modeling (ISM) and further it is validated using structural equation modeling (SEM).

In this study, ten key barriers to implementing blockchain technology in the cold supply chain were identified, modelled and analysed. Poor leadership style of top management was found to be the most important barriers to implementing blockchain technology in the cold supply chain. The results of SEM indicate that all the paths are supported. The findings showcase the barriers responsible for the lack of blockchain technology infrastructure that ultimately impacts the cold supply chains.

This study highlights the fact that the fate of blockchain technology infrastructure development depends on the leadership style of top management. Demonstrating good leadership style by top management can help overcome the barriers. A good leader pulls the entire team instead of pushing the team. A good leader can guide the entire team to improve IT governance, financial investment, digital footprint, digital readiness, skills and collaboration with service providers to implement blockchain technology. Not only that, a good leader provides mental strength to the team and helps overcome the fear of implementing blockchain in the cold supply chain. A good leader demonstrates good administrative skills and focus on security and privacy policies.

This is a novel contribution towards analysing the key barriers to implementing blockchain technology in the South African cold supply chain using the integrated ISM–MICMAC and SEM approach.

All built facility begins to show signs of deterioration immediately after the facility is completed and put to use, thus necessitating routine maintenance. Increase in defects due to age, usage, and other factors, requires extensive maintenance activities known as renovation. The data used for a typical renovation plan can be collected using the condition assessment (CA) tool which depends on physical inspection of the defects or through a facility condition index which hinges on harnessing and analyzing the information in the operational history of the facility. The purpose of this paper is to examine the quality of a typical renovation plan using both tools.

The single case study of qualitative research was adopted. The data were collected through the principle of semi-structured questionnaire complemented with interviews and document analysis. The documents include periodic operational reports and a CA report used for planned renovation exercise of the Facilities Management (FM) Unit in a higher education institution in South Africa.

The findings revealed that although the FM Unit produces periodic reports, but there was no evidence of detailed analysis of the reports. Therefore, the programmed renovation exercises are based purely on the information from a CA.

This research is a single site case study of qualitative research; the data collected are limited and not sufficient for generalization of the results. Furthermore, the lack of record of the analysis of the operational history in the periodic reports negatively affected the computation of facilities condition index (FCI). Thus it was not possible to demonstrate the strength of FCI over CA from empirical information.

The quality of a typical renovation plan is influenced by the tool used for data collection. Although the CA tool is commonly used, experience shows that the renovation exercise developed from such records is prone to many execution setbacks, such as frequent scope changes and the associated cost and time overruns. These setbacks can be minimized if the FCI is used as the tool for data collection.

The authors aim to investigate whether ability electronic human resource management (e-HRM) practices, opportunity enhancing e-HRM practices and motivation enhancing e-HRM can possibly lead to development of sustainable e-HRM systems. Finally, the authors also examined if sustainable e-HRM systems can enhance firm performance.

The model was developed using dynamic capability view perspective. The study tests theoretical model and presents findings by analysing data (partial least squares structural equation modelling method) gathered from 151 South African firms.

The findings indicate that ability enhancing e-HRM practices and motivation enhancing e-HRM practices can result in development of sustainable e-HRM systems, and findings also indicate that sustainable e-HRM systems can improve firm performance.

Emphasis is required on ability enhancing e-HRM practices and motivation enhancing e-HRM practices to develop sustainable e-HRM systems. Once workforce understand the complete benefits of e-HRM, they will start using this system on a regular basis for activities including goal setting, and performance measurement. The development of sustainable e-HRM systems will improve firm performance especially from cost control and customer satisfaction perspective.

This study advances the conceptual debate in the e-HRM domain through the development and testing of theoretical model.

The digital revolution has brought many challenges and opportunities for the manufacturing firms. The impact of Industry 4.0 technology adoption on sustainable manufacturing and circular economy has been under-researched. This paper aims to review the latest articles in the area of Industry 4.0, sustainable manufacturing and circular economy and further developed a research framework showing key paths.

Qualitative research is performed in two stages. In the first stage, a review of the extant literature is performed to identify the barriers, drivers, challenges and opportunities. In the second stage, a research framework is proposed to integrate Industry 4.0 technology (big data analytics powered artificial intelligence) adoption, sustainable manufacturing and circular economy capabilities.

This research extends the knowledge base by providing a detailed review of Industry 4.0, sustainable manufacturing, and circular economy and proposes a research framework by integrating these three contemporary concepts in the context of supply chain management. Through an exploration of this integrative research framework, the authors propose a future research agenda and seven research propositions.

It is important to understand the interplay between institutional pressures, tangible resources and human skills for Industry 4.0 technology (big data analytics powered artificial intelligence) adoption. Industry 4.0 technology (big data analytics powered artificial intelligence) adoption can positively influence sustainable manufacturing and circular economy capabilities. Managers must also put more attention to sustainable manufacturing to develop circular economic capabilities.

Factory workers and the local communities generally suffer from various adverse effects resulting from the traditional manufacturing process. The quality of the environment is deteriorating to such an extent that people even staying miles away from the factory are also affected due to environmental pollution that is generated from factory operations. Hence, sustainable manufacturing is the only choice left to manufacturers that can help in the transition to a circular economy. The research framework can help firms to enhance circular economy capabilities.

This review paper contains the most updated work on Industry 4.0, sustainable manufacturing and circular economy. It also proposes a research framework to integrate these three concepts.