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How Green Consumption Value Affects Green Consumer Behaviour: The Mediating Role of Consumer Attitudes Towards Sustainable Food Logistics Practices
The aim of the study is to identify the green consumption values and production patterns and understand how they impact consumer behaviour and purchase intention of green consumers, in particular, the environment-conscious youth in the city of Bangalore. The focus of the study is on the pre-purchase sustainable logistics of food products and how they impact behaviour and attitudes of green consumers. The theory of planned behaviour and social cognitive theory form the theoretical base for the current research. An online survey was conducted among 284 participants in and around the scope area. Confirmatory factor analysis and structural equation modelling were used to test the hypotheses. The results showed that green consumption values and consumer attitudes towards sustainable food logistics either directly or indirectly influence green purchase intention and environmentally conscious behaviour towards food products. The main contribution of this study is the identification of new multidimensional constructs which can be used to measure green consumer attitude in terms of sustainable food logistics practices in the Indian context. These findings will empower managers and future researchers to understand how sustainable food logistics practices can create green consumer attitudes. They will also assist food production companies to identify possible opportunities, developments and other benefits they can derive from following sustainable food logistics practices. 2021 Management Development Institute. -
Masstige scale: An alternative to measure brand equity
Masstige marketing is a strategic word for market penetration for premium but reachable products based on brand equity, trying to develop brand awareness, likability, affection and attachment. Hence, masstige scale may allow firms to measure brand equity to derive insights into the popularity of their brands. However, there is no empirical evidence available to test whether these scales are related measures of brand equity and, at the same time, independent measures, respectively. This study investigates whether the masstige scale and multidimensional consumer-based brand equity scale measure the same constructs. A total of 493 participants evaluated four different athletic shoe brands. The multi-trait, multimethod and confirmatory factor analyses suggested that the masstige scale may be a viable alternative to consumer-based brand equity and masstige value. We discuss the implications and provide directions for future research derived from our findings. 2022 John Wiley & Sons Ltd. -
Explaining the intention to uptake COVID-19 vaccination using the behavioral and social drivers of vaccination (BeSD) model
Background: The World Health Organization (WHO) has proposed a tool to measure behavioral and social drivers (BeSD) of vaccination uptake intentions of people across all countries. This study tests BeSD model to predict people's intentions to uptake COVID-19 vaccination in rural India. Methods: An online cross-sectional survey was developed for the purpose based on the components of the BeSD model, i.e., confidence, motivation, and behavioral intention. A convenient sampling technique was used to collect samples, amounting to a total of 625, from rural Bengaluru, in the Karnataka state of India. Structural equation modelling (SEM) was applied to examine the proposed model. All respondents for the survey were in the age category of 1868 years with a mean age of 35 years. Findings: The results showed that 85% of COVID-19 vaccine uptake intentions can directly or indirectly be attributed to the government's vaccine communication strategy, perceived threats about the vaccine, and their trust in the healthcare sector. The dimensions of the vaccine acceptance scale (motivation factors) act as a mediator between these factors and COVID-19 vaccination uptake (the behavioral factor). Conclusion: The study demonstrates that the BeSD framework is an efficient model for predicting the COVID-19 vaccination uptake in India. 2022 The Authors -
The Role of Mega-events In Promoting Sustainable Behaviour: A Multi-group Analysis Using Micom
This study investigates the influence of participation in mega events, like Dubai Expo 2020, on factors related to environmentally responsible behavior. Data from 361 UAE respondents were collected, examining environmental concern, social and personal norms, ethical obligations, and perceived behavioral control. Partial Least Squares Structural Equation Modeling and Multi-Group Analysis tested the hypotheses. The results showed that environmental concern, ethical ideologies, and perceived behavioral control had stronger impacts on the intention for responsible behavior in event attendees than in non-attendees. Attendees also demonstrated a stronger positive impact on sustainable consumer behavior. These findings offer valuable insights into environmental psychology, sustainability, consumer behavior, and event management, and can inform strategies for promoting sustainable behavior in industries such as travel, tourism, and hospitality. 2024 Taylor & Francis Group, LLC. -
Mediating Effect of Brand Relationship Quality on Relational Bonds and Online Grocery Retailer Loyalty
The current study aims to identify how brand relationship quality mediates the relationship between different online relational bonds, and attitudinal and behavioral loyalty. A total of 316 valid questionnaires from respondents aged 2035 were collected using quota sampling from five different clusters in Bangalore, India. Hypotheses were tested using structural equation modeling. This study finds that convenience bonds and structural bond have no impact on brand trust and attitudinal and behavioral loyalty. All five relational bonds namely, convenience, structural, financial, empathy, and social bonds are seen to influence their sense of community and attitudinal attachment. Sense of community is the primary influencer of brand loyalty. This study reveals that brand dimensions of brand quality relationship mediate the effect of financial, empathy, and social bonds on attitudinal and behavioral loyalty. It also illustrates the role of different relational bonds as a stimulus, and relationship quality dimensions as an organism that lead to improved customer loyalty in online grocery retailing. Managers of online grocery stores can consider these new relational bonds, along with the traditional bonds, to develop positive emotions and achieve competitive advantage. 2021 Taylor & Francis Group, LLC. -
Predicting Intention to Buy Organic Food during the COVID-19 Pandemic: A multi-group analysis based on the Health Belief Model
The ongoing COVID-19 pandemic has deeply affected physical and psychological health of people. It also had a huge impact on their dietary choices. This study specifically attempts to determine the impact of the constructs of health belief model on consumer purchase intention of organic food in the pandemic scenario. A survey was conducted among 413 Indian organic food consumers. The proposed hypotheses are tested by employing structural equation modeling. The findings highlight those perceived benefits is an important predictor of consumers behavioral intention to buy organic food, followed by cues to action and perceived threats. It is also found that consumers age moderates the impact of perceived threat and perceived barrier on consumers purchase intention, with a 22% difference in model prediction. In conclusion, the health belief model is found to be one of the most suitable models to predict consumer intention toward organic food purchase during the COVID-19 pandemic. 2022 Taylor & Francis Group, LLC. -
The importance of servicescapes in Maldivian higher education: application of the stimuli-organism-response(SOR) framework
Purpose: This study aims to use the servicescape model of higher education environments to measure the students perceptions of the learning environment (classroom) and the effect this has on students learning ability. Design/methodology/approach: The present study follows the stimulus-organism-response paradigm framework. A self-administered and well-structured survey questionnaire is used to collect data. The snowball sampling technique is used to collect samples of 403 students belonging to Maldivian higher education institutions. Findings: Findings show that the physical appearances of these higher education institutions greatly influenced the pleasure dimension. Furthermore, pleasure is found to have a significant and positive relationship with the approach behaviour and engagement/involvement of the students. Originality/value: The main contribution of the study is that it successfully tests the Eduscape model adopted from the servicescape model, and thus helps to extend existing knowledge on the critical elements in the Maldivian higher education learning environments and students behaviour within them. The findings have implications for higher education institutions to improve their learning environments and better engage with their students. 2021, Emerald Publishing Limited. -
Managing coworker conflict: investigating the effect of workplace phubbing and mindfulness on employee deviant and negligent behavior
Purpose: This study aims to examine the influence of workplace phubbing on employee deviant behavior and negligence, while also investigating the mediating role of coworker conflict. Additionally, the study explores the moderating effect of workplace mindfulness on the relationship between workplace phubbing, the mediators and employee deviant behavior and negligence. Design/methodology/approach: Data were gathered from employees in the service sector in the UAE using an online survey questionnaire. A total of 374 participants submitted complete responses. The studys hypotheses were tested through regression-based moderated path analysis, incorporating conditional process modeling and nonlinear bootstrapping. Findings: The study indicates that experiencing phubbing at work contributes to feelings of coworker conflict, which subsequently leads to increased interpersonal deviance and employee negligence. Moreover, workplace mindfulness weakens the positive influence of being phubbed on coworker conflict, interpersonal deviance and employee negligence. Originality/value: To the best of the authors knowledge, no previous studies have examined the negative impact of being phubbed at the individual employee level within the service industry. This study aims to contribute to both theory and practice by elucidating the mediating mechanism of coworker conflict and exploring the moderating effects of workplace mindfulness. 2024, Emerald Publishing Limited. -
Translation and validation of the Tamil version of depression anxiety stress scales-21
The Depression Anxiety Stress Scales-21 (DASS-21) is a well-established scale designed to measure the negative emotional states of depression, anxiety, and stress. DASS-21 has been translated into various languages, and findings conclude that it is psychometrically sound, with good reliability and validity. This study adapts and validates the psychometric properties of DASS-21 in the Tamil language. The instrument was administered to 511 Tamil speaking students ranging between 18 and 35 of age with an average age of 21 years. Results reaffirm that DASS-21 three-factor model shows excellent validity and reliability on the entire sample and groups based on age, gender, and residential area. They also find support in different hierarchical variance measurement models (metric, scalar, strict models). This study concludes that Tamil DASS-21 can be used as a universal measure to map symptoms and screen for depression, anxiety, and stress in any circumstances. Our findings provide roadmap for future research on the Tamil version of DASS-21 with specific focus on its clinical use. 2022 -
NiSe2@CdO Nanocomposite: A Next-Generation Electrode for Asymmetric Supercapacitors with Gel Electrolyte
This article investigates the electrochemical performance of NiSe2@CdO nanocomposites synthesized by combining melt-diffusion-synthesized NiSe2 and hydrothermally prepared CdO, followed by ball milling to obtain the final NiSe2@CdO composite. Structural, morphological, and electrochemical analyses revealed flake-like NiSe2 nanoparticles decorated with rod-shaped CdO nanostructures, exhibiting exceptional electrochemical performance. The nanocomposite electrode achieved a specific capacitance of 255 F/g at 10 mV/s from the three-electrode setup, and also, was achieved at an energy density of 48 Wh/kg at the power density 2000 W/kg by the NiSe2@CdO||AC asymmetric device. fourier transform infrared analysis confirmed the structural integrity, while transmission electron microscopy images revealed nanostructures with clear lattice fringes, and energy-dispersive X-ray Spectroscopy verified elemental uniformity. The device demonstrated 96.7% capacitance retention even after 5000 cycles and displayed superior energy and power density characteristics in the Ragone plot. These results in turn, highlight the potential of NiSe2@CdO nanocomposites for next-generation energy storage systems. 2025 Wiley-VCH GmbH. -
Hybrid response surface methodologyparticle swarm optimization framework for predictive modeling and tensile strength optimization of PLA bio-composites
Developing mechanically robust biodegradable composites is critical for next-generation orthopedic support devices. Although polylactic acid (PLA) is widely used in additive manufacturing, incorporating fillers can lead to reduced tensile performance when interfacial bonding with the matrix is inadequate. This study aims to enhance the mechanical performance of 3D-printed PLA reinforced with 2wt% rice husk-derived silica (SiO2) through optimized post-annealing. A hybrid statisticalcomputational framework combining Response Surface Methodology (RSM) and Particle Swarm Optimization (PSO) was implemented to identify optimal print speed, annealing temperature, and annealing time. PSO predicted the optimal conditions as 50mm/s, 90.90C, and 60min, respectively, corresponding to a projected ultimate tensile strength (UTS) of 54.65MPa. Confirmation experiments validated the prediction, yielding a mean UTS of 54.49MPa with an error below 1%. Scanning electron microscopy revealed improved interlayer fusion and enhanced ductility in the optimized samples relative to unoptimized ones. Overall, the integration of RSM and PSO effectively refined post-annealing conditions without modifying material composition, demonstrating a viable strategy for strengthening PLA-based biocomposites. The proposed framework provides a practical route for tailoring mechanical properties in biomedical additive manufacturing, particularly for load-bearing orthopedic applications. The Author(s) 2026 -
Information Management Capacity and Supply Chain Performance: Mediating Effects of Supply Chain Practices, Competencies and Concerns
The present study aims to identify the impact of the information management capacity (IMC) of an organization on its supply chain performance (SCP). Also, this study attempts to understand the mediating role of the various components of supply chain management, namely, practices, competencies and concerns. A survey instrument was used to collect primary data from 250 SMEs which were selected randomly. Structural equation modeling (SEM) technique is used to test the hypotheses using SmartPLS. The final model indicated that information management capacity significantly influences the supply chain performance and supply chain management components, namely supply chain competence, practices and concerns mediate the relationship between information management capacity and supply chain performance. The results of this study provide a significant contribution to the theory of resource-based view. The number of managerial perspectives for improving operational capabilities was explained in this study. 2025 MDI. -
Exploring Revenge Travel Intentions to Offbeat Destinations: Assessing the Mediating and Moderating Mechanisms
This study integrates the Health Belief Model and Theory of Planned Behavior to examine factors influencing revenge travel intentions to offbeat destinations, including perceived susceptibility, perceived severity, perceived benefits, perceived barriers, attitude, social norms, and perceived behavioral control. It also explores the moderating role of social media influencer information search. Data from 363 online survey responses were analyzed using SmartPLS and structural equation modeling. Results show that constructs from both models significantly impact revenge travel intentions to offbeat destinations, with attitude and perceived behavioral control as partial mediators. Notably, social media information search strengthens the positive link between attitudes toward offbeat tourism and revenge travel intentions to offbeat destinations. The proposed model outperforms the original models in predictive capacity. The study acknowledges its limitations and discusses theoretical and practical implications for understanding revenge travel behavior to offbeat destinations. 2026 The Author(s). International Journal of Tourism Research published by John Wiley & Sons Ltd. -
The Role of Mega-events In Promoting Sustainable Behaviour: A Multi-group Analysis Using Micom
This study investigates the influence of participation in mega events, like Dubai Expo 2020, on factors related to environmentally responsible behavior. Data from 361 UAE respondents were collected, examining environmental concern, social and personal norms, ethical obligations, and perceived behavioral control. Partial Least Squares Structural Equation Modeling and Multi-Group Analysis tested the hypotheses. The results showed that environmental concern, ethical ideologies, and perceived behavioral control had stronger impacts on the intention for responsible behavior in event attendees than in non-attendees. Attendees also demonstrated a stronger positive impact on sustainable consumer behavior. These findings offer valuable insights into environmental psychology, sustainability, consumer behavior, and event management, and can inform strategies for promoting sustainable behavior in industries such as travel, tourism, and hospitality. 2024 Taylor & Francis Group, LLC. -
The role of service customisation and process innovation in enhancing customer satisfaction and engagement in pet care services: Evidence from India and the UAE
This study examines the impact of pet care service quality on customer satisfaction and engagement, with a focus on the moderating effects of service customization and process innovation in India (Study 1) and the UAE (Study 2). Using an adapted SERVPERF model, data was collected from 221 Indian and 238 UAE pet owners and analyzed through PLS-SEM and multi-group analysis (MGA). Findings reveal that in India, assurance, reliability, and responsiveness significantly influence customer satisfaction, which enhances engagement, but service customization and process innovation showed no significant moderating effect. In the UAE, reliability is the sole driver of satisfaction, while service customization and process innovation significantly moderate the satisfaction-engagement relationship. The PLS-MGA results confirmed that the moderating effect of service customization and process innovation was significantly stronger in the UAE than in India, suggesting that UAE consumers place greater value on personalized and technology-driven services, while Indian consumers prioritize fundamental service quality dimensions. These findings provide theoretical contributions by extending SERVPERFs applicability in the pet care industry and managerial implications for service providers aiming to optimize customer experience, engagement, and retention in emerging markets. 2025 American Society for Quality. -
Internet of Things and Machine Learning based Intelligent Irrigation System for Agriculture
Irrigated agriculture methods need a significant volume of water, and causes water waste. It is critically necessary to install an efficient watering system and lessen the volume of water wasted on this tiresome chore. It is a huge benefit of the computer vision (ML) - the Internet of Everything (Ot) era to construct expert machines that carry out this work successfully with little human endeavour. This work suggests an Embedded device Fluid ounces suggestion method for efficient water use with little farm involvement. In the agricultural field, IoT sensors are set up to capture important atmospheric and surface data. The obtained information is sent to and stored on a cloud-based server, where machine learning techniques are used to evaluate the information and recommend treatment to the farmers. This recommender system has an internal development process that makes the solution resilient and flexible. The test demonstrates that the suggested method operates admirably on the agricultural dataset from the National Institutes of Technology (Kit) Bhubaneswar as well as the information that we obtained. 2022 IEEE. -
Oppositional Glowworm Swarm based Vector Quantization Technique for Image Compression in Fiber Optic Communication
In recent times, fiber optic communication networks have become commonly applied for commercial as well as military applications. Fiber optic networks have gained popularity owing to the high data rate. At the same time, the generation of huge quantity of data at a faster rate poses a major challenge in the storing and transmission process. To resolve this issue, data compression approaches have been presented to reduce the quantity of transmitted data and thereby minimizes bandwidth utilization and memory. Vector quantization (VQ) is a commonly employed image compression technique and Linde Buzo Gray (LBG) is used to construct an optimum codebook to compress images. With this motivation, this paper presents a new oppositional glowworm swarm optimization based LBG (OGSO-LBG) technique for image compression in fiber optic communication. The OGSO algorithm involves the integration of oppositional based learning (OBL) concept into the GSO algorithm to boost its convergence rate. The OGSO-LBG algorithm produces the codebook at a faster rate with minimal computation complexity. In order to highlight the enhanced compression performance of the OGSO-LBG technique, a series of experiments were carried out and the results are examined under different dimensions. 2021 IEEE -
Dictionary-Based BPT Compression with Trimodal Encryption for Efficient Fiber-Optic Data Management and Security
Fiber-optic transmission systems are capable of carrying tens of terabits per second of traffic and thereby form the core infrastructure for all Internet-based services and applications. While fiber-optic communication provides rapid data transfer, it faces the challenge of managing the substantial data volumes generated, stored, or transmitted. In the realm of fiber-optic communication, data interception is straightforward, necessitating robust security measures. One effective solution is compression-based encryption, which combines security with data compression benefits. Encryption safeguards data by transforming it into ciphertext during transmission, rendering it unreadable to attackers without knowledge of the encryption method. Data compression enhances bandwidth efficiency, enabling the efficient transmission of large data volumes using limited bandwidth. In the event of data compromise, attackers must grasp both compression and encryption methods to decipher the information, adding an additional layer of security. In this paper, an encoding technique named the Bounded Probability-Based Textual Data Compression (BPT) algorithm is introduced with trimodal encryption method for securing the short textual data while transferring from source to the destination. The BPT algorithm creates a codeword using a dictionary that assigns binary codes according to character occurrence probabilities in the input data. To decompress, the coding table must be transmitted alongside the compressed data. The trimodal encryption is used as a second tier for securing the data that was compressed using BPT algorithm. The trimodal encryption employs three encryption methods, and data is encrypted using one of these methods during transmission to the destination. The BPT algorithms performance is evaluated using benchmark textual datasets from the Calgary Corpus and the Canterbury Corpus. The experimental results demonstrate the unique characteristics of the BPT algorithm, including compression ratio (CR), compression factor (CF), bits per character (BPC), and space savings. Additionally, the Trimodal encryption algorithm (TME) method is evaluated using end-to-end delay analysis, packet loss analysis, and packet delivery ratio assessment. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024. -
Controller Area Network (CAN) Sniffing and Mobile App Based Control of Vehicular Subsystems
Modern vehicles use Controller Area Network instead of the traditional wire to wire connections for enabling simultaneous data exchange among all the electronic control units (ECUs). CAN lacks inherent security features making it susceptible to attacks like spoofing and unwanted command injections. This project makes a low budget and scalable system that helps in CAN sniffing and enabling remote control of a vehicle through a mobile application. A CAN sniffing tool is used to map the data form the car. An Arduino board, wifi shield, mcp2515 and an On-Board Diagnostics tool (OBD II) are connected in a setup in order to inject the messages into the car. The connections support both monitoring and message injection allowing users to control in vehicular functions. The proposed setup offers a tool for diagnosing, testing and vehicular controlling by highlighting cybersecurity implications in automotive networks. 2025 IEEE.