Browse Items (14428 total)
Sort by:
-
Building trust in policing: challenges and strategy; [Construindo confian no polia: desafios e estratia]
In recent years, trust has gained significant importance when discussing the evolution of policing. This shift in focus has been acknowledged by scholars, policymakers, and law enforcement officials who are responsible for ensuring public safety. Unlike the traditional emphasis on crime reduction, there is now a shared recognition that building trust is a fundamental objective in the relationship between policing agencies and the communities they serve. This article discusses three commonly employed methods by policing agencies and their personnel to enhance public trust in the police: policy changes, police training, and citizen oversight boards. Further, it focuses to a less conventional avenue for change, which involves re-evaluating the laws enforced by the police. To achieve meaningful transformation within the police system, it is necessary not only to modify how officers perform their duties but also to examine and potentially revise the laws they are obligated to enforce. 2024 Centro Universitario de Brasilia. All rights reserved. -
EMPOWERING POLICING: ADVANCING GENDER EQUALITY FOR ACHIEVING SUSTAINABLE DEVELOPMENT GOALS
[No abstract available] -
A review on prediction of cardiac arrest analysis in early stage
Cardiac arrest occurs as the heart muscle fails to contract properly, resulting in a sudden loss of blood supply. The ECG signal is one of the techniques for detecting cardiac electrical activity and is used to investigate heart block. In this paper different standardized work for early detection of cardiac arrest is described. Stages of ECG signal pre-processing involves denoised using digital filtering algorithms and extracting different features from clean ECG predicting cardiac arrest in early stage. Several other body parameters were also considered for this purpose. In this work denoising validation parameters were compared for showing effectiveness of the filtering algorithm and several body parameters and its implication on cardiac arrest was described. 2022 Author(s). -
Teaching Language Through Literature: Introducing Aspects of Literary Nonsense
Nonsense Literature first came into existence after the publishers of nursery rhymes started using the term to describe the works of childrens literature. It evolved into a genre of childrens literature that is widely accepted for being covertly intellectually stimulating. It uses puns, riddles, trick questions, contrasts in language, paradoxes and oxymorons to raise philosophically challenging questions that break our ideas of conventional patterns of understanding grammar, logic and reason. Nonsense literature is known for defying the rules of conventional linguistics. It plays with the boundaries of what is linguistically acceptable with its wordplay. However, nonsense literature understands and explores the structures of grammar, logic and reason better than any other literary genre. It is the best source of instruction for the ways in which the fundamental structures of grammar can be manipulated to create more structures of meaning which are transformational in nature. It uses the basic knowledge of grammar to create new ideas and rules using devices such as portmanteau and neologisms. Most course syllabi either focus on language or literature, never both simultaneously. Since literary nonsense plays with both linguistic structures in its writing and logic and reason in its story, it becomes the perfect material for teaching language as well as literature in the classroom. 2023, IUP Publications. All rights reserved. -
Achieving organizational performance by integrating industrial Internet of things in the SMEs: a developing country perspective
Purpose: This research investigates the adoption of the industrial Internet of things (IIoT) in SMEs to achieve and increase organizational performance. With the latest technology, small and medium-sized enterprises (SMEs) can create a competitive edge in the market and better serve customers. Design/methodology/approach: Twelve hypotheses are proposed for this study. This study constructed a questionnaire based on technological, organizational, environmental and human perspectives. A survey is conducted on the SMEs of India using the questionnaire. Findings: Eight hypotheses were accepted, and four hypotheses were not supported. The hypotheses rejected are infrastructure, organizational readiness, internal excellence and prior experience. The findings suggested that adopting IIoT in SMEs will increase organizational performance. Research limitations/implications: This study will be helpful for the manager, top management and policymakers. This study identified the areas SMEs need to work on to adopt the technologies. Originality/value: In the literature, no article considered IIoT adoption in SME firms as a human factor. Therefore, this study is unique, including human, technological, organizational and environmental factors. 2023, Emerald Publishing Limited. -
Investigating sustainable development for the COVID-19 vaccine supply chain: a structural equation modelling approach
Purpose: Immunization is one of the most cost-effective ways to save lives while promoting good health and happiness. The coronavirus disease 2019 (COVID-19) pandemic has served as a stark reminder of vaccines' ability to prevent transmission, save lives, and have a healthier, safer and more prosperous future. This research investigates the sustainable development (SD) of the COVID-19 vaccine supply chain (VSC). Design/methodology/approach: This study investigates the relationship between internal process, organizational growth, and its three pillars of SD environmental sustainability, economic sustainability and social sustainability. Survey-based research is carried out in the hospitals providing COVID-19 vaccines. Nine hypotheses are proposed for the study, and all the hypotheses got accepted. The survey was sent to 428 respondents and received 291 responses from health professionals with a response rate of 68%. For the study, the healthcare professionals working in both private and public hospitals across India were selected. Findings: The structural equation modelling (SEM) approach is used to test the hypothesis. All nine hypotheses are supported. This study examines a link between internal processes and organizational learning and the three sustainability pillars (environmental sustainability, economic sustainability and social sustainability). Practical implications: This study will help the management and the policymakers to think and adopt SD in the COVID-19 VSC. This paper also implies that robust immunization systems will be required in the future to ensure that people worldwide are protected from COVID-19 and other diseases. Originality/value: This paper shows the relationship between organizational learning and internal process with environmental sustainability, economic sustainability and social sustainability for the COVID-19. Studies on VSC of COVID-19 are not evident in any previous literature. 2022, Subhodeep Mukherjee, Manish Mohan Baral, Venkataiah Chittipaka, Surya Kant Pal and Ramji Nagariya. -
Intentions to adopt the blockchain: investigation of the retail supply chain
Purpose: Blockchain can track the material from the manufacturer to the end customers. Therefore, it can ensure the product's authenticity, transparency and trust in the retail supply chain (SC). There is a need to trace and track the retail products before it reaches the customers to check the quality of the products so that expired products can be recycled and reused, which in turn will help gain customers' trust. This research aims to investigate retail employees' behavioural intention to adopt blockchain in the retail SC. Design/methodology/approach: To examine the behavioural intention of employees in the retail SC, the research uses three theories the technology acceptance model; the unified theory of acceptance and use of technology; and the theory of planned behaviour. The technology acceptance model measures the employee's acceptance of blockchain in the retail SC. The unified theory of acceptance is used in this research to measure how blockchain adoption will improve the performance of the employees. The theory of planned behaviour is used in this research to measure whether the employees intend to adopt blockchain. A survey was carried out in the retail stores of India. Exploratory factor analysis and structural equation modelling were used for data analysis. Findings: This study found that the employees of the retail stores have a positive intention and attitude to adopt blockchain technology. Further, it was found that perceived behavioural control and effort expectancy was not promoting blockchain adoption in the retail sector. Practical implications: This study will help the retail stores' employees understand the blockchain in their operations and will motivate the top management of the retail companies to adopt this technology. The study is limited to the retail SC in India only. Originality/value: This study uses three theories technology acceptance model; the unified theory of acceptance and use of technology; and the theory of planned behaviour, which were not used in earlier studies of blockchain adoption in the retail SC. 2023, Emerald Publishing Limited. -
Systematic literature review and future research directions for service robots in hospitality and tourism industries; [????????????????????????]
Service robots create a touchless experience for travellers; therefore, this research aims to conduct a systematic literature review (SLR) of service robots in the tourism and hospitality sector. This study used the Scientific Procedures and Rationales for Systematic Literature Reviews (SPAR-4-SLR) approach for reviewing the articles. One hundred eighteen articles are selected for the final review. A thematic analysis divided the articles into three themes and nine sub-themes. For establishing the future research directions Theory, Methodology, and Context (TMC) framework was used and forty-one future research questions are proposed. The study provides various research implications concerning theory and practical perspective. Different management theories are linked with future research questions. Few review papers discussed the service robot in the context of the tourism sector, but none of these studies used the SPAR-4-SLR and TMC framework. This study comprehensively reviews the articles and provides potential future research directions. 2023 Informa UK Limited, trading as Taylor & Francis Group. -
Blockchain-based circular economy for achieving environmental sustainability in the Indian electronic MSMEs
Purpose: The circular economy is a production and consumption model that encourages people to share, lease, reuse, repair, refurbish and recycle existing materials and products for as long as possible. The blockchain-based circular economy is being used in many industries worldwide, but Indian electronic MSMEs face many problems in adopting a blockchain-based circular economy. The research aims to discover the barriers the electronic MSMEs face in adopting a blockchain-based circular economy and pull back from achieving environmental sustainability in their operations. Design/methodology/approach: Fifteen barriers are identified from the literature review and finalized with experts' opinions. These barriers are evaluated by using interpretive structural modeling (ISM), MICMAC analysis and fuzzy TOPSIS method. Findings: Lack of support from distribution channels, lack of traceability mechanism and customer attitudes toward purchasing remanufactured goods are identified as the most critical barriers. Practical implications: The study will benchmark the electronic MSMEs in achieving environmental sustainability in the blockchain-based circular economy. Originality/value: It is a study that not only establishes a hierarchical relationship among the barriers of blockchain adoption in Indian electronic MSMEs but also verifies the results with fuzzy TOPSIS method. 2022, Emerald Publishing Limited. -
Artificial intelligence-based reverse logistics for improving circular economy performance: adeveloping country perspective
Purpose: Reverse logistics services are designed to move goods from their point of consumption to an endpoint to capture value or properly dispose of products and materials. Artificial intelligence (AI)-based reverse logistics will help Micro, Small, and medium Enterprises (MSMEs) adequately recycle and reuse the materials in the firms. This research aims to measure the adoption of AI-based reverse logistics to improve circular economy (CE) performance. Design/methodology/approach: In this study, we proposed ten hypotheses using the theory of natural resource-based view and technology, organizational and environmental framework. Data are collected from 363 Indian MSMEs as they are the backbone of the Indian economy, and there is a need for digital transformation in MSMEs. A structural equation modeling approach is applied to analyze and test the hypothesis. Findings: Nine of the ten proposed hypotheses were accepted, and one was rejected. The results revealed that the relative advantage (RA), trust (TR), top management support (TMS), environmental regulations, industry dynamism (ID), compatibility, technology readiness and government support (GS) positively relate to AI-based reverse logistics adoption. AI-based reverse logistics indicated a positive relationship with CE performance. For mediation analysis, the results revealed that RA, TR, TMS and technological readiness are complementary mediation. Still, GS, ID, organizational flexibility, environmental uncertainty and technical capability have no mediation. Practical implications: The study contributed to the CE performance and AI-based reverse logistics literature. The study will help managers understand the importance of AI-based reverse logistics for improving the performance of the CE in MSMEs. This study will help firms reduce their carbon footprint and achieve sustainable development goals. Originality/value: Few studies focused on CE performance, but none measured the adoption of AI-based reverse logistics to enhance MSMEs CE performance. 2024, Emerald Publishing Limited. -
Linking supply chain resilience with knowledge management for achieving supply chain performance
Purpose: Supply chain (SC) and knowledge management (KM) have been studied; still, there is a need to understand how KM can be used for SC resilience and improving the firms performance. The purpose of the paper is to study and analyze SC resilience strategies based on KM processes to enhance SC performance considering six SC strategies: SC reengineering, collaboration, SC innovation, SC integration, SC agility and SC risk management. Design/methodology/approach: By adopting the dynamic capability theory, the empirical research is conducted on a sample of 312 Indian micro, small to medium enterprises. To evaluate 312 samples, the structural equation modeling approach is adopted. Findings: The study found a is a positive relationship between SC reengineering, SC collaboration, SC integration, SC agility, SC risk management and KM. Nevertheless, the relationship between SC innovation and KM is not significant. This study also found the mediating effect of KM on SC performance, and the results shows that SC reengineering, SC collaboration, SC agility and SC risk management are having complementary mediation, while SC innovation and SC integration did not show any mediation. Originality/value: This is the only research that integrates resilience strategies and KM for improving SC performance. Using KM, SC reengineering will improve SC performance by enhancing readiness and recovery strategies to avoid SC disruption. KM will improve SC collaboration. It will enhance the SC process overall visibility, transparency and so on. Agility leads to increased speed, visibility and flexibility, which aids in dealing with uncertainty in the environment. SCRM entails investments and additional resources (such as equipment and labor) to navigate uncertainty and risks in the SC and improve SC performance. 2023, Emerald Publishing Limited. -
Service learning beyond the classroom: Engaging students in environmental stewardship
Service learning offers a dynamic approach to education, extending learning beyond the classroom and into the community. This chapter explores integrating service learning principles with environmental stewardship, focusing on engaging students in meaningful activities that contribute to the conservation and protection of the environment. By immersing students in real-world environmental projects, this chapter integrates six stages of the IPARDC model with environmental stewardship. Besides that, this chapter discusses a six-step system focused on environmental stewardship for service learning. Moreover, it discusses strategies for designing and implementing effective service-learning experiences that promote environmental awareness, sustainability, and social responsibility. Through collaboration with community partners and integration with the academic curriculum, service learning empowers students to actively participate in environmental stewardship efforts actively, fostering a sense of responsibility and advocacy for the natural world. 2024, IGI Global. All rights reserved. -
Underlying Opportunities and Challenges of Digitalization in Gig Economy
There has been enormous growth in the gig sector across the world. The term gig refers to the short-term arrangement. For instance, an aspiring musician might celebrate after he obtains a gig contract or a painter may get a gig contract for some particular period of time. Both of them might get paid either a fixed fee or a fee based on the contract given. The gig economy has given rise to freelance workers, part-time workers, project-based workers, independent contractors, and contract workers. The gig economy has occupied a prominent place in the United States. According to the survey conducted by Intuit, nearly 40% of American workers are working as an independent contract worker in the year 2020. By means of the increase in the cost level and large masses seeking for jobs and livelihood, the concept of gig economy has opened doors for earning extra income through the gig work. The concept of digital platforms, greater digitalization, and accessibility to higher technology advancement such as the adoption of Artificial Intelligence is giving a boost to the concept of gig economy. There has been a growth in the acceptance of smartphones and the percentage of digitalization is an aiding factor permitting gig freelancers to offer numerous qualified services over the tech-based platform. Gig employees have the potential of signing any tasks in which they have a specific skill set. For example, a worker specialized in interior beautification on an ad-hoc basis for various customers as an alternative of undertaking a full-time inside designing work at a company. Advanced countries such as the United States were the initial adoption of the gig economy started due to advanced rates of digitalization, economic growth, and increase in the disposable income. All these enabling factors were responsible for foremost growing firms being initiated in the United States. Examples of firms are Uber, Airbnb, and Upwork. Nations such as the United States are presently a frontrunner in the international gig economy. On the contrary, emerging nations like India characterize a countless latent in terms of adoption of the gig economy. The reason behind the boost in gig economy is the growing supply of outworkers and lesser skilled labour force. With further knowledge diffusion and the upgrading in human resources and capital, India will nurture in the worldwide gig economy at a hastening pace. India can follow the United States gig economy by studying its trends and encourage the possible gig responsibilities. There are instances such as Ola and OYO operational in the Indian Economy. 2025 selection and editorial matter Alex Khang, Babasaheb Jadhav, Vugar Abdullayev Hajimahmud and Ipseeta Satpathy; individual chapters, the contributors. -
Mitigating Mental Health Burden of Youth During COVID-19 Through Resilience and Hope: Evidences from India and Germany
In the global crisis caused by the COVID-19 pandemic, young professionals and graduating students experience considerable psychological adversity due to the uncertainty surrounding their futures. Given the positive psychological outcomes and the potential to alleviate stress, we examine the role of resilience and hope in causing a substantial variance in the stress response to anticipation of crisis among Indians living in India and Germany. Resilience, hope, crisis apprehension, and the psychological response to the COVID-19 pandemic were measured among participants from India and Germany (n = 650) via an online survey using non-probability convenient sampling. Parallel mediation and conditional indirect effects showcase the differential roles of resilience and hope among socio-culturally similar but geographically divergent groups. Hope mediates the effect of pandemic-led crisis apprehension on perceived stress among those residing in India; resilience operates to mitigate stress among those from Germany. Findings highlight the contradistinctive role of resilience and hope in reducing stress and imply an urgent need for promotion of ameliorative practices. Resilience effectively mitigates the psychological burden of the COVID-19 crisis and can be promoted to reskill individuals; however, elevating hope in a crisis obligates prudence. The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2023. -
Evolution of Policing: Historical Contexts and Human Rights Implications
This chapter examines the evolution of policing, tracing its historical roots and the complex interplay between law enforcement practices and human rights. It highlights the transformation of policing from its early functions, which were often aligned with maintaining social control and serving the interests of those in power, to contemporary efforts aimed at reform and accountability. The discussion includes significant milestones, such as the establishment of police systems in India, which were influenced by the British Police Act of 1861, and the ongoing challenges faced by modern policing, including issues of police brutality, systemic racism, and extrajudicial killings. The discussion extends to the global implications of policing practices, addressing issues such as police brutality, systemic racism, and extrajudicial killings that transcend national boundaries. This chapter emphasises the need for comprehensive reforms that not only address policy changes but also foster a cultural shift within police organisations to prioritise human rights and community engagement. By analysing the historical legacies and current practices of policing, this chapter aims to provide a nuanced understanding of how law enforcement can evolve to better protect the rights and dignity of all individuals in society. 2025 The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG. -
Rethinking the Police for a Better Future : Navigating Policing Challenges with Accountability and Trust
Rethinking the Police for a Better Future: Navigating Policing Challenges with Accountability and Trust is an authoritative collection of perspectives from scholars, practitioners, and policymakers around the globe. Edited by renowned experts in the field, this book offers a deep dive into the evolution of policing, its challenges, and the innovative reforms shaping its future. This volume tackles pressing issues like human rights in law enforcement, accountability, community trust, and the intersection of technology with policing practices. It addresses topics as diverse as crime prevention, mental health in policing, transnational crime, and the ethical implications of artificial intelligence and surveillance. With contributions from international thought leaders and a foreword by Professor Dilip K. Das, founder of the International Police Executive Symposium, this book bridges the gap between academic research and real-world policing challenges. A must-read for policymakers, law enforcement officials, academics, and anyone passionate about building transparent and accountable policing systems, this book is a call to action for fostering safer and more equitable communities worldwide. 2025 The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG. -
Natural processing language: Business strategy in marketing intelligence
Customer Perception (CP) plays a crucial role for linking business strategy to success, with companies using multichannel data like social media and surveys to gather valuable unstructured information. Accurate analysis of this data uncovers purchasing trends, product flaws, and customer interests, thus guiding product improvements and marketing strategies. This chapter highlights the importance of prioritizing pricing and product usefulness over aesthetic appeal in catalogues by understanding consumer behaviour, and leveraging multichannel marketing for global reach and cost-effectiveness. This chapter explores how Deep Learning and NLP technologies enhance data analysis, customer feedback capture, and marketing strategies along with emphasizing ethical considerations. It aims to provide insights into developing competitive, intelligent marketing strategies (IMS) focussing on CRM, ultimately guiding companies to navigate the evolving marketing landscape effectively. 2025 Kankhita Mukherjee, Sriram Ananthan, Raghunandan G. and Thirupathi Manickam. Published under exclusive licence by Emerald Publishing Limited. All rights reserved. -
A Comprehensive Analysis of the Impact of Demographic, Socioeconomic Factors, and Social Media Advertisements on Consumers Online Shopping Behavior
This research comprehensively explores the intricate relationship between social media, demographic factors, socioeconomic status, and online shopping behavior. It investigates how various elements, such as brand, quality, price, and reviews, intersect to influence consumers virtual shopping experiences. Recognizing the diversity among consumer populations, the study considers demographic traits like age, gender, and socioeconomic status. It identifies a research gap concerning the moderating effects of these factors on virtual shopping behavior and the influence of different advertisement sources. The research proposes a methodology involving machine learning approaches to address these gaps. Using a dataset collected from 331 respondents in Kolkata, the study employs statistical tests and machine learning models to analyze the correlations and predict online shopping behavior. The results underscore the importance of understanding consumer behavior in the evolving e-commerce landscape. Logistic Regression emerges as the most accurate algorithm for predicting online shopping decisions. Additionally, the research investigates the reasons limiting consumers use of online shopping platforms, providing practical insights for tailored marketing strategies. These findings empower businesses to adapt their marketing strategies to the evolving landscape of consumer behavior. Overall, the study enhances our understanding of the multifaceted variables shaping customers decisions in online marketplaces. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025. -
Silent Battles of Indian Women: Womanhood, Fertility, and the Weight of PCOS
Introduction: Polycystic ovary syndrome (PCOS) is a multifaceted, complex endocrine condition affecting many women worldwide, with increased prevalence in South Asian nations, including India. Though biomedical consequences such as irregular menses, infertility, and insulin resistance are well established, the psychological and social aspects of PCOS are not well understood, especially where femininity is equated with reproduction and physical beauty. Method: This qualitative research examines the PCOS lived experience of eight Indian women. A narrative method was employed, with semistructured interviews used to capture participants individual experiences from diagnosis through treatment and psychosocial adjustment. Results: Five Global themes, 15 organizing themes, and 36 subthemes were identified through thematic analysis. The global themes identified are as follows: (1) PCOS Awareness and DiagnosisDelays and misinformation during diagnosis. (2) Living with PCOSDaily struggles with physical and emotional symptoms. (3) Coping and Seeking SupportReliance on family, friends, and online communities. (4) The Healthcare ExperienceMixed interactions with medical professionals and systemic gaps. (5) Cultural Expectations and IdentityThe impact of gender norms on self-image and social roles. Conclusion: These results highlight the pressing need for culturally responsive, multidisciplinary models of PCOS treatment that tackle the physical manifestations, psychosocial and sociocultural weights experienced by women. The research adds to an expanding literature on chronic disease and gendered health in the Global South, calling for a more holistic view of women's health. The Author(s) 2026 -
Neuro-Divergence and COVID-19 Pandemic: A Reflexive Thematic Analysis on the Experiences of a Mother of an Autistic Child
The COVID-19 pandemic has altered how the experience for neuro-divergent individuals as well as their caregivers has been. A neuro-divergent person refers to a person with an autism spectrum disorder (ASD) or, more generally, to someone whose brain processes information in a way that is not typical of most individuals. In India, where gendered parenting is the norm and can significantly influence childrens development and functioning, it becomes imperative to examine the narratives of mothers of neuro-divergent children. The present case study has been undertaken to study the phenomenon of neuro-divergence in the context of the caregivers especially the mothers experience during the pandemic. The mother of an autistic child was telephonically interviewed to collect the experience of how she navigated through the complexities of the pandemic with her neuro-divergent child. The transcribed data were analysed by reflexive thematic analysis. The reflexive thematic analysis yielded six themes such as resilience in adversity, struggles with social isolation and educational support, adaptation and creativity, advocacy for change, hope and resilience, and newfound relationship. During the pandemic, the lack of physical, and social interaction, community support, and a sense of loneliness experienced during the challenging circumstances of the pandemic served as a bane to the overall experience. In the context of the findings, it is suggested that further research be conducted on the narratives of caregivers, systemic challenges serving as hindrances to the development of neuro-divergent individuals and the rise of caregiver burden due to gendered parenting among the neuro-divergent community. 2025 selection and editorial matter, Sonali Mukherjee and Swati Pathak.