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Ubiquitous health-care monitoring systems can provide continuous surveillance to a person using various sensors, including wearables and implantable and fabric-woven sensors. By assessing the state of many physiological characteristics of the patient’s body, continuous monitoring can assist in preparing for the impending emergency. To address this issue, this study aims to propose a health-care system that integrates the treatment of the impending heart, stress and alcohol emergencies. For this purpose, this study uses readings from sensors used for electrocardiography, heart rate, respiration rate, blood alcohol content percentage and blood pressure of a patient’s body.

For heart status, stress level and alcohol detection, the parametric values obtained from these sensors are preprocessed and further divided into four, five and six phases, respectively. A final integrated emergency stage is derived from the stages that were interpreted to examine at a person’s state of emergency. A thorough analysis of the proposed model is carried out using four classification techniques, including decision trees, support vector machines, k nearest neighbors and ensemble classifiers. For all of the aforementioned detections, four metrics are used to evaluate performance: classification accuracy, precision, recall and fmeasure.

Eventually, results are validated against the existing health-care systems. The empirical results received reveal that the proposed model outperforms the existing health-care models in the context of metrics above for different detections taken into consideration.

This study proposes a health-care system capable of performing data processing using wearable sensors. It is of great importance for real-time systems. This study assures the originality of the proposed system.

The purpose of this study is to extensively explore the vehicular network paradigm, challenges faced by them and provide a reasonable solution for securing these vulnerable networks. Vehicle-to-everything (V2X) communication has brought the long-anticipated goal of safe, convenient and sustainable transportation closer to reality. The connected vehicle (CV) paradigm is critical to the intelligent transportation systems vision. It imagines a society free of a troublesome transportation system burdened by gridlock, fatal accidents and a polluted environment. The authors cannot overstate the importance of CVs in solving long-standing mobility issues and making travel safer and more convenient. It is high time to explore vehicular networks in detail to suggest solutions to the challenges encountered by these highly dynamic networks.

This paper compiles research on various V2X topics, from a comprehensive overview of V2X networks to their unique characteristics and challenges. In doing so, the authors identify multiple issues encountered by V2X communication networks due to their open communication nature and high mobility, especially from a security perspective. Thus, this paper proposes a trust-based model to secure vehicular networks. The proposed approach uses the communicating nodes’ behavior to establish trustworthy relationships. The proposed model only allows trusted nodes to communicate among themselves while isolating malicious nodes to achieve secure communication.

Despite the benefits offered by V2X networks, they have associated challenges. As the number of CVs on the roads increase, so does the attack surface. Connected cars provide numerous safety-critical applications that, if compromised, can result in fatal consequences. While cryptographic mechanisms effectively prevent external attacks, various studies propose trust-based models to complement cryptographic solutions for dealing with internal attacks. While numerous trust-based models have been proposed, there is room for improvement in malicious node detection and complexity. Optimizing the number of nodes considered in trust calculation can reduce the complexity of state-of-the-art solutions. The theoretical analysis of the proposed model exhibits an improvement in trust calculation, better malicious node detection and fewer computations.

The proposed model is the first to add another dimension to trust calculation by incorporating opinions about recommender nodes. The added dimension improves the trust calculation resulting in better performance in thwarting attacks and enhancing security while also reducing the trust calculation complexity.

This paper aims to conceptualize and define a construct of brand pride and develop a measurement instrument for the construct.

A scale development procedure comprising a qualitative prestudy and four quantitative studies for item generation and content validity, scale refinement using exploratory factor analyses, scale confirmation using confirmatory factor analysis and scale validity using PLS-SEM is followed to develop the measure of brand pride.

The scale development procedure yields a two-dimensional measurement instrument for brand pride with affective and utilitarian dimensions. The proposed scale is reliable and has convergent, discriminant and nomological validity.

This study highlights the need to study brand pride by reviewing literature from both psychology and marketing. The definition and conceptualization of brand pride help uniquely identify and describe the phenomenon. By developing a scale to measure the construct of brand pride, this study will enable research into the phenomenon, its causes and effects and its significance for consumer–brand relationships.

Millets are underused crops that have the potential to withstand harsh environmental conditions. Recent research has proved immense nutritional benefits associated with millets which have increased their utilization to some extent but yet their sole potential is left to be exploited. Different millet varieties have exceptional nutritional and nutraceutical properties which can ameliorate even the deadly conditions of cancers. They have significant protein composition ranging from 10% to 12% which possess effective bioactive potential. Protein hydrolysates containing bioactive peptides have been evaluated for their therapeutic effects against a variety of diseases. This review aims to discuss the bioactive potential of different millet protein hydrolysates to encourage research for development of effective natural therapeutics.

The present article elaborates on effective studies on the therapeutic effects of millet protein hydrolysates.

Several effective millet peptides have been reported for their therapeutic effect against different diseases and their antioxidant, anti-inflammatory, anticancer, antimicrobial and antidiabetic effects have been investigated.

This review focuses on millet bioactive peptides and their significance in treating variety of diseases. Thus, will further encourage research to explore the novel therapeutic effects of millet proteins hydrolysates which can eventually result in the development of natural and safe therapeutics.

Reverse logistics (RL) is a strategic instrument across industries. The rapid evolution of online marketplaces has led to frequent product returns with variations across diversified businesses. These marketplaces have caused potential losses due to fraudulent returns, hence requiring a commitment of resources to RL. With information systems (IS) playing a role in improved supply chain performance, the purpose of this paper is to analyse the impact of a conceptualized IS framework on achieving RL strategic outcomes, under the individual moderating influence of resource commitment (RC) and return frequency.

Data have been collected through a questionnaire from top to middle management executives managing the supply chain, logistics and IS. Moderated regression analysis was conducted on the collected sample using Hayes’ (2013) process modeling.

The study depicts that IS capability, IS for logistics, IS partnership quality and IS for value addition lead to RL strategic benefits. Also, return frequency and RC act as relatively strong moderators with a negative impact. When analyzed for the individual IS constructs, RC has a stronger moderating impact than return frequency.

The IS usage framework can be used effectively by practitioners for enhancing strategic RL performances depending on variations in committed resources and return frequency for individual industries.

The study proposes an IS usage framework for achieving enhanced RL strategic outcomes and emphasizes on the moderating role played by RC and return frequency for producing the results.

The purpose of this paper is to evaluate the suitability of cloud computing for small and medium-sized enterprises (SMEs) in India.

Literature review is used to identify benefits, challenges, and factors concerning usage and adoption of cloud computing by SMEs. A conceptual framework was developed based on the existing theoretical models and factors identified from the literature. A survey based on questionnaire method was followed to collect data from 121 manufacturing SMEs in India. The conceptual framework was refined by using factor analysis, and multiple regression analysis was used to test the hypotheses.

Major benefits of cloud computing for SMEs include cost advantage, easy deployment process, easier access to latest information and communication technologies, automatic updates and upgrades, scalability, flexibility, and improved disaster recovery and back-up capabilities. The concern area includes perceived loss of control, vendor lock-in, security issues, reliability and availability issues, and internet connectivity and speed. The factors that are found significant include perceived benefits, top management support, competitive pressure, and perceived concerns. The model explained 73 percent of cloud computing adoption.

The study is expected to make significant contribution toward body of knowledge pertaining to information technology adoption in SMEs.

The study is expected to provide SMEs an insight into real benefits and challenges associated with adopting cloud computing. The model can help SMEs in evaluating their readiness for adopting cloud computing and can ensure successful outcome of cloud computing adoption in SMEs. Providers are also going to be benefited through their enhanced understanding of SMEs’ requirements.

The proposed framework incorporates all the relevant factors including perceived benefits, perceived concerns, and other organizational and environmental factors to improve model’s predictive power.

This paper aims to review the status of literature on financial risk reporting practices (FRRP) for the purpose of synthesizing mounting literature to suggest the relevant risk reporting measure across the globe.

Using a systematic literature review method, a total of 61 articles from 42 referred journals and international conferences published from 2000 to 2018 are reviewed.

It has been found that despite the growing attention on and importance of corporate risk disclosure, academic literature on corporate risk disclosure is limited. Also, research linking risk disclosure with governance mechanisms is rare. Scrutiny of the literature on corporate risk disclosure shows that most of the researchers have focused on the limited or single period to examine the risk disclosure practices, determinants and corporate performance. The limitation of these studies is that with single period data analysis generalization of findings is limited. Findings of longitudinal studies are more reliable, and in extant literature, only a few studies have used data of more than a single period.

This paper contains a comprehensive listing of publications on financial risk reporting and corporate disclosure and its classification according to various attributes. The paper will be useful to researchers, finance professionals and others concerned with risk reporting to understand the importance of risk disclosure.

This study aims to identify and prioritize the key practices and strategies for effective global sourcing and supply chain management (SCM).

The study uses a combination of Pareto analysis and multi-objective optimization based on ratio analysis research methodology to analyze and establish the relationships among the identified key practices and strategies. Pareto analysis enables organization to prioritize organizational efforts and resources by focusing on the most critical factors.

The study shows that the “eco-friendly sourcing strategy”, “lean manufacturing” and “tool cost analysis” are the top critical practices and strategy variables for global sourcing and SCM, whereas the “risk management”, “procurement strategy” and “leverage digital solutions” are the critical practices and strategy variables.

The findings of this research can also assist organizations in making informed decisions to optimize their global sourcing and supply chain operations.

By using these methods, this research paper gives valuable insights into the critical practices and strategies that can enhance efficiency, mitigate risks and drive success in global sourcing and SCM. The subjects and elements this study identified will serve as a framework and suggestions for further theoretical investigation and real-world implementations.

The purpose of this paper is to identify and rank the contextual relationship among the quality management (QM) constructs for manufacturing and its related service organizations providing integrated value bundles, which has got limited research attention.

The QM constructs of manufacturing and services are selected by performing the citation analysis. Studies related to manufacturing and service are selected by reviewing their citations index in the three major research databases namely ProQuest, Scopus and Google Scholar. The subjective responses from both industry and academia are taken in order to gain better understanding of the contextual relationship among the QM constructs. Finally, an integrated model is proposed using Micmac analysis and Interpretive Structural Modeling (ISM).

The citation analysis lead to identification of 12 QM constructs: top management commitment, supplier relationship management, human resource management, strategic focus, customer focus, quality of information sharing, process management, servicescape, employee involvement, service quality, supply chain flexibility and customer satisfaction. The expert opinions of executives in the automotive industry and academia resulted in the development of contextual relationships among the identified QM constructs for the development of an ISM model, which is a major contribution of this study.

The unique focus of this study is on analyzing the contextual relationship among QM aspects in manufacturing and services as clubbed offering. The researchers in the existing literature have so far differentiated between manufacturing and services but this study integrates the QM constructs for manufacturing and its associated services through expert feedback and proposes an ISM model.

The study aims to synthesize the state of research on pride in consumer behaviour and marketing. Specifically, this study aims to understand the emergent themes of literature, the key theories, analytical techniques and methodologies used, as well as key variables associated with pride in consumer behaviour and marketing.

Using a systematic literature review process, the study analyses 59 research articles and structures its findings by using the theory–context–characteristics–methodology framework.

The review proposes a taxonomical classification of the multiple conceptualizations of pride. It identifies that the phenomenon and regulation of pride is explained using theories from psychological self-related research. Pride has been experienced in sustainable, advertising, luxury and digital consumption contexts. Reviewed articles showed an over-reliance on the quantitative methodology and the experimental method. The review identifies that pride is associated with positive outcomes and has considerable influence on consumer behaviour. Building on this analysis, 12 research questions are developed to encourage future research.

To the best of the authors’ knowledge, this study is the first structured review on the emotion of pride in the domains of consumer behaviour and marketing.