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This study addresses the impact of aesthetics and formality in Food Delivery Applications (FDAs) in evoking emotions, and how these influence the intention to reuse and compulsive usage, providing critical insights for designing responsible and effective marketing strategies.

A quantitative analysis of data collected from 1,029 FDA users was employed, using the PAD (Pleasure, Arousal, Dominance) theory to investigate how aesthetic design and formality affect emotions and consumer behaviour towards the applications.

The study reveals that aesthetic appeal and formality significantly impact emotions of dominance, arousal, and pleasure, which are decisive in users' decisions to continue using FDAs and in the manifestation of compulsive usage behaviours.

This study presents inherent limitations due to its cross-sectional design, which prevents offering a longitudinal perspective on the evolution of consumer behaviour regarding FDAs. The actual purchasing behaviour is not examined, but rather the suggested experiences. Future research could be enriched by considering cultural, social, and demographic factors, the influence of sustainability on the perception and use of FDAs, and the importance of specific sustainable practices. Adopting a longitudinal approach and utilising actual usage data would allow for a deeper and more nuanced understanding of consumer behaviour towards FDAs, taking into account both personal factors and functional attributes of FDAs along with their aesthetic appeal and emotional reactions.

The findings provide guidelines for FDA companies to optimise their interfaces to enhance user experience, foster loyalty, and prevent compulsive usage. They emphasise balancing aesthetics and functionality to induce more conscious and sustainable consumption behaviours.

This study highlights significant social implications stemming from the integration of aesthetic appeal and formality in Food Delivery Apps (FDAs) and their effect on consumer emotions, which in turn influences reuse intention and compulsive use. Amidst the COVID-19 pandemic, consumer behaviours have shifted towards increased electronic transactions and hedonic consumption as responses to stress, anxiety, and boredom, leading to a reevaluation of life experiences through technological means. The research underlines the critical role of emotions, particularly pleasure, dominance, and arousal, in promoting the intention to reuse FDAs, which has far-reaching implications for consumer engagement, compulsive usage patterns, and the need for responsible, sustainable consumption practices. It suggests a new avenue for businesses and policymakers to consider emotional impacts and consumer satisfaction in the design and regulation of FDAs, aiming to mitigate potential adverse effects of compulsive usage and to encourage sustainable, responsible consumption behaviours.

The research offers a novel perspective by exploring how aesthetic and emotional dimensions affect consumer loyalty and compulsivity. These areas are still to be examined in depth in the marketing literature. The findings enhance the theoretical and practical understanding of FDA marketing, demonstrating how design can influence consumer well-being and the sustainability of purchasing behaviour.

1. Novel use of PAD theory to analyse FDA’s aesthetic appeal and formality on user emotions.

2. FDA’s aesthetic appeal significantly influences reuse intentions and compulsive usage.

3. Emotions of pleasure, dominance, and arousal are directly linked to FDA reuse intention.

4. Pleasure and reuse intention influence the compulsive use of FDAs.

Novel use of PAD theory to analyse FDA’s aesthetic appeal and formality on user emotions.

FDA’s aesthetic appeal significantly influences reuse intentions and compulsive usage.

Emotions of pleasure, dominance, and arousal are directly linked to FDA reuse intention.

Pleasure and reuse intention influence the compulsive use of FDAs.

This study’s purpose is to analyze the international mobile marketing (IMK) in order to stage the importance of this tool in the internationalization of companies. Our understanding of mobile marketing is constantly evolving, due to its high business penetration in a world globalized by technologies.

A review of the relevant literature on IMK, companies and customers is undertaken to understand the link between them. The paper begins by explaining the coronavirus disease 2019 is accelerating the change of the rules of the game in traditional and online commerce around the world. Furthermore, this study uses secondary data from organisation for economic co-operation and development (OECD), Sensor Tower, mobile marketing association (MMA), App Annie, among others, to support research results.

The results have shown that IMK has opened a melting pot of opportunities for companies and consumers in this period of pandemic; the potential of this tool is being redefined, in order to identify, anticipate and satisfy customers requirement profitably and efficiently. This study aims to provide an assessment of new concept of IMK and how this tool has to be integrated into the firm’s digital marketing strategies.

The study contributes to make better future decisions in the international digital expansion of companies by company executives and marketing experts. This paper provides a comprehensive framework intended to guide research efforts focusing on digital marketing as well as to aid practitioners in their quest to achieve IMK success.

Performance measurement (PM) of any supply chain is prerequisite for improving its competitiveness and sustainability. This paper develops a framework for supply chain performance measurement (SCPM) for agriculture supply chain (ASC) based on internet of things (IoT). Moreover, this article explains the role of IoT in data collection and communication (SC visibility) based on the supply chain operation reference (SCOR) model.

This research identifies various key performance indicators (KPIs) and also their role in SCPM for improving its sustainability by using SCOR. Further, Shannon entropy is utilized for weighing the basic processes of SCPM and by using weights, fuzzy TOPSIS is applied for ranking of identified KPIs at metrics level 2 (deeper level).

“Flexibility” and “Responsiveness” have been reported as two most important KPIs in IoT based SCPM framework for ASC towards achieving sustainability.

In this research, metrics are explained only at SCOR level 2. But, this research will guide the managers and practitioners of various organizations to set their benchmark for comparing their performance at different levels of business processes. Further, this paper has managerial implications to develop an effective system for PM of IoT based data-driven ASC.

By using IoT based data driven system, this article fills the gap between SCPM by measuring different SC strategies in their performance measurable form of reliable, responsive and asset management etc.

There is increasing interest in the connection between Industry 4.0 (I4.0) and operational excellence approaches; however, studies on the integration between Six Sigma (SS) and I4.0 have been absent from the literature. Integration with I4.0 technologies can maximize the positive effects of SS. The purpose of this study is to understand what types of relationships exist between SS and I4.0 and with I4.0's technologies, as well as the benefits derived from this integration and future directions for this field of study.

A Systematic Literature Review (SLR) was carried out to analyze studies about connections between I4.0 technologies and SS. SLR analyzed 59 articles from 2013 to 2021 extracted from the Web of Science and Scopus databases, including documents from journals and conferences.

The SLR identified relationships between SS and several I4.0 technologies, the most cited and with the greatest possibilities of relationships being Big Data/Big Data Analytics (BDA) and Internet of Things (IoT). Three main types of relationships were identified: (1) support of I4.0 technologies to SS; (2) assistance from the SS to the introduction of I4.0 technologies, and, to a lesser extent; (3) incompatibilities between SS and I4.0 technologies. The benefits are mainly related to availability of large data sets and real-time information, enabling better decision-making in less time.

In addition, the study can help managers to understand the integration relationships, which may encourage companies to adopt SS/Lean Six Sigma (LSS) in conjunction with I4.0 technologies. The results also drew attention to the incompatibilities between SS and I4.0 to anticipate potential barriers to implementation.

The study focuses on three previously unexplored subjects: the connection between SS and I4.0, the existing relationships with different technologies and the benefits resulting from the relationships. In addition, the study compiled and structured different types of relationships for SS and I4.0 and I4.0's technologies, identifying patterns and presenting evidence on how these relationships occur. Finally, exposes current trends and possible research directions.

The aim of this paper is to provide an approach to analyze the performance of TV programs and to identify what can be done to improve them.

The Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS), the Ng-model, Grey relational analysis (GRA), and principal component analysis (PCA) were applied to evaluate the programs, using audience, share, and duration as the performance criteria.

By comparing TOPSIS to the Ng-model, PCA, and GRA, we verified that SVD and bootstrap SVD TOPSIS provide a good balance between equal-weights TOPSIS and the other models. This is because SVD and bootstrap SVD TOPSIS break down the data to a higher degree, but are less impacted by outliers compared to the long tail models.

To determine which TV programs should be replaced or modified is a complex decision that has not been addressed in the literature. The advantage of using a multi-criteria decision-making (MCDM) approach is that analysts can choose as many criteria as they want to rank TV programs, rather than relying on a single criterion (e.g., audience, share, target rating point).

This work represents the first time that robust MCDM methodology is applied to an audience data set to analyze the performance of TV programs and to identify what can be done to improve them. This study shows the application of a detailed methodology that is useful for the improvement of TV programs and other entertainment industry content.

In the developing field of nano-materials synthesis, copper oxide nanoparticles (NPs) are deemed to be one of the most significant transition metal oxides because of their intriguing characteristics. Its synthesis employing green chemistry principles has become a key source for next-generation antibiotics attributed to its features such as environmental friendliness, ease of use and affordability. Because they are more environmentally benign, plants have been employed to create metallic NPs. These plant extracts serve as capping, stabilising or hydrolytic agents and enable a regulated synthesis as well.

Organic chemical solvents are harmful and entail intense conditions during nanoparticle synthesis. The copper oxide NPs (CuO-NPs) synthesised by employing the green chemistry principle showed potential antitumor properties. Green synthesised CuO-NPs are regarded to be a strong contender for applications in the pharmacological, biomedical and environmental fields.

The aim of this study is to evaluate the anticancer potential of CuO-NPs plant extracts to isolate and characterise the active anticancer principles as well as to yield more effective, affordable, and safer cancer therapies.

This review article highlights the copper oxide nanoparticle's biomedical applications such as anticancer, antimicrobial, dental and drug delivery properties, future research perspectives and direction are also discussed.

Try to find a way to treat wastewater and achieve its purification from suspended waste, which was removed by examining the magneto-Williamson fluid on a horizontal cylindrical tube while taking advantage of solar radiation and nanotechnology.

The effect of Cattaneo–Christoph law of heat transfer, solar radiation, oblique magnetic field, porosity and internal heat generation on the flow was studied. The control system was solved by the numerical technique of Chebyshev pseudospectrum (CPS) with the help of the program MATHEMATICA 12. The tables comparing the published data results with the existing numerical calculation match exactly.

The tables comparing the published data results with the existing numerical calculation match exactly. The current simulation results indicate that when using variable viscosity, the Nusselt number and surface friction decrease significantly compared to their value in the case of constant viscosity, and variable viscosity has a significant effect on flow, which reduces speed. Curves and increasing temperature profiles.

Developing a theoretical framework for the problem of sewage turbidity in a healthier and less costly way, by studying the flow of Williamson fluid with variable viscosity (to describe the intensity of sewage turbidity) on a horizontal cylindrical tube, and taking advantage of nanotechnology, solar radiation, Christoph’s thermal law and internal heat generation to reach water free of impurities. Inclined magnetic force and porous force were used, both of which played an effective role in the purification process.

Several authors have proposed various factors/enablers that enhance managerial performance of MBA students. However, there is little research on how to prioritise these enablers or how each enabler in the system of enablers influences each other. This paper aims to address this gap.

This paper integrates the interpretive structural modelling (ISM) and Multiplication Appliquée á un Classement (MICMAC) techniques to arrive at the conclusions.

The “help achieve” power of each enabler, determined by ISM, is limited or accentuated by its “driving power and its dependence” determined by MICMAC. Out of the 14 enablers used in the study, this paper identifies five enablers that can enhance the performance of MBA students.

When ISM and MICMAC are integrated, one can arrive at a better way to prioritise enablers in a system of enablers.

The implication of the study findings is that all stakeholders can now systematically prioritise the enablers that can lead to performance and also save resources during the process. A related implication is that this method can be used in a wide variety of situations.

This paper highlights how an integrated use of ISM-MICMAC can improve decision-making and resource optimisation.

Overall equipment effectiveness (OEE) is a performance indicator that is been used to measure manufacturing productivity. The purpose of this paper is to propose the operating room effectiveness for hospital operating rooms (ORs), adapted from the OEE, to measure performance and identify losses based on lean health-care principles.

The present study is an exploratory, descriptive and applied research work. Literature review, documents of the hospital, observation and interviews with employees of a large university hospital in southern Brazil were analyzed to organize the proposed effectiveness indicator. After that, historical data of the ORs was collected and the usefulness of the indicator was analyzed. The indicator was applied for 10 months and validated with an expert committee from the hospital.

The present study describes an adaptation of a performance indicator to ORs of hospitals, allowing to classify its types of operational losses in a lean health-care context. The application of this indicator and the development of improvement actions to a university hospital, resulted in operational efficiency gains of 12 per cent and estimated annual savings of US$400,000.

ORs are a critical service for hospitals. This paper presents a new way to measure the performance of ORs and identify their main types of wastes. It also shows how to implement it and the potential gains of its application. The main research limitations are related to technical analysis of care data from doctors and nurses involved.

This paper fulfills the need to study how ORs performance can be measured and its operational wastes can be identified. In addition, this paper classifies the planning, performance and quality related losses, which can be used by researchers and practitioners to improve the performance of operation rooms.

The purpose of this paper is to identify the lean production (LP) practices applied in healthcare supply chain and the existing barriers related to their implementation.

To achieve that, a scoping review was carried out in order to consolidate the main practices and barriers, and also to evidence research gaps and directions according to different theoretical lenses.

The findings show that there is a consensus on the potential of LP practices implementation in healthcare supply chain, but most studies still report such implementation restricted to specific unit or value stream within a hospital.

Healthcare organizations are under constant pressure to reduce costs and wastes, while improving services and patient safety. Further, its supply chain usually presents great opportunities for improvement, both in terms of cost reduction and quality of care increase. In this sense, the adaptation of LP practices and principles has been widely accepted in healthcare. However, studies show that most implementations fall far short from their goals because they are done in a fragmented way, and not from a system-wide perspective.