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This study aims to contribute to the social media agility literature by examining the impact of perceived social media agility on customer purchases. More specifically, this study seeks to reveal whether perceived social media agility positively affects customer purchases. Furthermore, this study examines the moderating roles of social media self-efficacy and social anxiety to increase the model's explanatory power. That is, this study investigates whether social media self-efficacy positively moderates the impact of perceived social media agility on customer purchases. Similarly, this study examines whether social anxiety negatively moderates the impact of perceived social media agility on customer purchases.

An online survey was conducted on Qualtrics platforms to test the research hypotheses. To test the main effect, a linear regression was used. To test moderating relationships, PROCESS Macro Model 1 was used. Finally, the moderating effects were probed with the Johnson–Neyman technique to gain further insights into the interaction effects.

The study results show that when customers perceive a brand as agile on social media platforms, they are more willing to buy the goods/services of the brand. Notably, individuals who are high on social media self-efficacy (relative to low on it) display more willingness to purchase the brand's products/services. However, customers who are high on social anxiety (relative to low on it) are less willing to purchase the brand's products/services.

This study examines the effect of perceived social media agility on customer purchases while accounting for the moderating role of perceived social media self-efficacy and social anxiety. The results provide noteworthy theoretical and managerial contributions.

The purpose of this study is to investigate the impact of innovation management capability on organisational performance. Based on the resource-advantage theory, this study addresses: “To what extent do intellectual and emotional assets influence marketing management capability which loads to the organisation’s performance?”

To understand the research objectives, the data was collected via 35 in-depth interviews with managers and academics from various multi-national companies and new empirical insights were offered.

This study recognised three components of intellectual and emotional assets (knowledge and competence; digital technology; and reputation) and their influences on business performance.

The focus on small- and medium-sized enterprises (SMEs) limits the generalisation of this study. To scrutinise the relations documented in this study, future research should be conducted in other country settings and different sector.

This study contributes to the sustainability literature by developing a conceptual model that explains the development and role of innovation management in a market context with its associated sustainability management outcomes. The results are of importance to both SMEs and policymakers. Clear need to investigate further how organisations can benefit from such capabilities for greater growth is identified.

This study aims to propose an integrated model to examine the impact of knowledge governance, knowledge sharing and absorptive capacity (ACAP) on project performance in the context of project-based organizations (PBOs). This study also examines the moderating role of social processes on the relationships among these variables.

To test the proposed model, cross-sectional data were collected regarding projects from 133 PBOs in Pakistan’s information technology/software industry. The data were analyzed using the partial least squares – structural equation modeling (PLS-SEM) method and PRCOESS tool. Finally, this study also uses causal asymmetry analysis to check asymmetric relationship in the key constructs.

The results generally support the proposed model. Knowledge governance and knowledge sharing are important antecedents for improving the ACAP of the project, which in turn significantly improves project performance. Additionally, social processes positively moderate the relationship between knowledge sharing and ACAP, as well as between ACAP and project performance.

The findings suggest that PBOs should invest in developing a knowledge governance system that guides and stimulates knowledge sharing within and between projects. This would boost the ACAP of projects and lead to superior project performance.

This study addresses the important issue of knowledge management in IT/software projects. It proposes a unique model that integrates the key constructs of knowledge management and describes their effect on project performance.

This paper aims to explore and review the potential of robotic rehabilitation as a treatment approach for Alzheimer’s disease (AD) and its impact on the health and quality of life of AD patients.

The present discourse endeavors to provide a comprehensive overview of extant scholarly inquiries that have examined the salience of inhibitory mechanisms vis-à-vis robotic interventions and their impact on patients with AD. Specifically, this review aims to explicate the contemporary state of affairs in this realm by furnishing a detailed explication of ongoing research endeavors. With the objective of elucidating the significance of inhibitory processes in robotic therapies for individuals with AD, this analysis offers a critical appraisal of extant literature that probes the intersection of cognitive mechanisms and assistive technologies. Through a meticulous analysis of diverse scholarly contributions, this review advances a nuanced understanding of the intricate interplay between inhibitory processes and robotic interventions in the context of AD.

According to the review papers, it appears that implementing robot-assisted rehabilitation can serve as a pragmatic and effective solution for enhancing the well-being and overall quality of life of patients and families engaged with AD. Besides, this new feature in the robotic area is anticipated to have a critical role in the success of this innovative approach.

Due to the nascent nature of this cutting-edge technology and the constrained configuration of the mechanized entity in question, further protracted analysis is imperative to ascertain the advantages and drawbacks of robotic rehabilitation vis-à-vis individuals afflicted with Alzheimer’s ailment.

The potential for robots to serve as indispensable assets in the provision of care for individuals afflicted with AD is significant; however, their efficacy and appropriateness for utilization by caregivers of AD patients must be subjected to further rigorous scrutiny.

This paper reviews the current robotic method and compares the current state of the art for the AD patient.

The research aims to develop an assessment framework that evaluates critical success factors (CSFs) for the Quality 4.0 (Q 4.0) transition among Indian firms.

The authors use the fuzzy-Delphi method to validate the results of a systematic literature review (SLR) that explores critical aspects. Further, the fuzzy decision-making trial and laboratory (DEMATEL) method determines the cause-and-effect link. The findings indicate that developing a Q 4.0 framework is essential for the long-term success of manufacturing companies. Utilizing the power of digital technology, data analytics and automation, manufacturing companies can benefit from the Q 4.0 framework. Product quality, operational effectiveness and overall business performance may all be enhanced by implementing the Q 4.0 transition framework.

The study highlights significant awareness of Q 4.0 in the Indian manufacturing sector that is acquired through various means such as training, experience, learning and research. However, most manufacturing industries in India still follow older quality paradigms. On the other hand, Indian manufacturing industries seem well-equipped to adopt Q 4.0, given practitioners' firm grasp of its concepts and anticipated benefits, including improved customer satisfaction, product refinement, continuous process enhancement, waste reduction and informed decision-making. Adoption hurdles involve challenges including reliable electricity access, high-speed Internet, infrastructure, a skilled workforce and financial support. The study also introduces a transition framework facilitating the shift from conventional methods to Q 4.0, aligned with the principles of the Fourth Industrial Revolution (IR).

This research exclusively examines the manufacturing sector, neglecting other fields such as medical, service, mining and construction. Additionally, there needs to be more emphasis on the Q 4.0 implementation frameworks within the scope of the study.

This may be the inaugural framework for transitioning to Q 4.0 in India's manufacturing sectors and, conceivably, other developing nations.

This chapter discusses about the advancement in the field of telemedicine and how often the general public are using the services that are provide by the telehealth and telemedicine market. This chapter starts with the introduction of the medicine in the world, which were the earliest medical practice and how all that thing leads to the today’s telehealth market. This chapter also describes the models that are being used in today’s world, and how these models as implemented and how telemedicine services are implemented more efficiently. Telemedicine and telehealth market is growing day by day and a lot people are getting to know about it, but there is still some section of the society, specially the lower middle class and the people in the rural areas that do not have any access or knowledge about the concept of telehealth services.

This paper aims to derive the time-varying relative export competitiveness (REC) of the Nigerian cocoa sector against Nigeria’s share of world agricultural exports (REC_WA) and world merchandise exports (REC_WM) from 1995 to 2018. By concentrating on different factors such as demand and supply capacity, price factors and exchange rate, the authors examine the determinants of REC.

The authors calculated three different REC indexes. The authors also developed the relative symmetric export competitiveness index for comparative advantage calculation and avoiding the possible bias. The determinants of REC for Nigerian cocoa were captured using the short-run regression (SRR) model.

The study showed that Nigeria’s cocoa exports are still competitive despite experiencing some declining stages. Based on the SRR model, higher per capita income had a positive effect on the REC, while higher domestic prices significantly reduced the REC of cocoa. Further, the African Growth Opportunity Act agreement adversely affected the REC of cocoa.

This study provides a foundation for future research and enhances the literature on agricultural trade. This research makes a few contributions both from a scientific and a policy perspective. First, it is the first study on the REC analysis for the Nigerian cocoa industry. Second, a wide range of comparisons of REC among the world’s largest cocoa exporters was provided following implications of the various economic policies and local policy strategies. Third, the latest 24-year data sets were covered.

Reverse logistics (RL) has become integral in modern supply chains, with many companies investing in circular economy (CE), a recuperative and effective industrial economy. The traditional linear model triggered many negative environmental consequences such as climate change, ocean pollution, loss of biodiversity and land degradation. The development of RL strategies that support the transition between RL to CE is crucial. The purpose of this paper is to connect RL with CE in the context of Industry 4.0 and develop a hierarchal structure to explore the relationship between RL and CE critical success factors in the context of Industry 4.0.

This study used both qualitative and quantitative approach. Literature review in collaboration with the Delphi method is used to identify and validate critical success factors. Then, the ISM-based model and MICMAC method were used to determine the relationship between CE and RL success factors and its driving and dependence power.

This study result shows that waste reduction, skilled employees and expert's involvement and top management commitment and support will provide guidelines and paths for implementing CE and RL, leading to the competitiveness of a firm.

The findings provide managerial insight, particularly useful to third-party logistics companies' managers who are looking to implement RL and CE, to help prioritize where to invest company resources to generate prime difference. Furthermore, this study also identified Industry 4.0 technologies, which would tackle top identified critical success factors within the hierarchical model such as block chain and digital platforms.

This paper contributes to the literature by exploring the connection between RL and CE in the context of Industry 4.0 that determines the critical success factors enabling sustainable inter-firm collaboration.

This study aims to identify the various economic and non-economic determinants of renewable energy consumption (REC) in Brazil, Russia, India, China and South Africa (BRICS). Due to the adverse effect of carbon emission on the environment, every country is trying for a transition from fossil fuel towards renewable energy. Renewable energy plays a crucial role in reducing carbon emission and combating climate change. Understanding the determinants that influence REC helps to promote this transition.

The study is based on an unbalanced panel data over the period 2002–2019 for all five BRICS nations. The panel corrected standard error (PCSE) method has been adopted to examine the determinants of REC.

Industrialization, population growth and foreign direct investment (FDI) are found to be significant economic determinants of REC while patent on environmental technologies, political instability and industrial design are significant non-economic determinants of REC in the BRICS nations.

The findings imply that to increase REC in BRICS nations, policymakers should incentivize industries for investments in renewable energy, attract FDI aligned with environmental regulations, raise population awareness through training, enforce industrial design standards, establish fair technology transfer frameworks to overcome patent barriers and create stable, long-term renewable energy policies with risk mitigation instruments to address political instability.

The study captures the effect of patents on environmental technologies and industrial design on the consumption of renewable energy. Thus, the novelty lies in investigating unexplored variables in the previous literature likely to affect REC.