CONSCIOUS CONSUMERISM CAUSE RELATED MARKETING IN GEN Z AWARENESS AND ACTION
The study explores the interaction between awareness and attitude in determining the cause related marketing (CRM) intentions of the Generation Z, localized in the Ernakulam District of Kerala. Although there are high literacy levels in the region, little has been done in determining the mechanisms used by CRM to mobilize youth on social and enviro...
By R. Remya, A. Dharmaraj
THE IMPACT OF CAPITAL STRUCTURE ON THE PROFITABILITY OF POWER INDUSTRY COMPANIES
The first aim of the article is to examine the effect of capital structure on the profitability of the power firms in Vietnam. This research utilizes secondary data in the form of financial reports by the power providers in the years 2010-24. The article has an approximate dynamic panel data model of systematic generalized linear model (GMM) estima...
By Dong Thi Van Hong
DEEP INCEPTION V7 INTEGRATED CONVOLUTIONAL NEURAL NETWORK FOR DEEPFAKE PREDICTION IN ONLINE CONTENT USING ADVANCED TECHNOLOGY
The technologies of deepfakes are actively used on social media, creating fake video and audio by manipulating existing media content. The face-swapping technologies that are applied in the creation of deepfakes cause severe problems in society, such as identity theft and the spread of unsuitable content. Although various machine learning and deep ...
By S. Narmatha, S. Mythili
EXPLORING THE EVOLUTION OF DIGITAL AND PLATFORM COMPETENCIES IN THE MODERN ECONOMY
Purpose: The growth in platform-based jobs has created a need to have competencies that go beyond traditional digital capabilities. The conceptualization of Gig Literacy 2.0 in this work is an adaptation of the DigComp 2.0 framework to the changing, platform-specific skills that freelancers and gig workers need to have in order to function in the a...
By Nivedhitha Jayasankar, Sumathi Gunasekaran Navamani
AGENT-BASED SPRINT MITIGATION FOR RISK-RESILIENT SCRUM EXECUTION: A CONTROLLED SIMULATION STUDY
The Scrum framework is one of the most popular Agile software development frameworks, due to its versatility, iterative development process, and focus on delivering value in small increments. However, sprint overruns continue to be a significant operational challenge and are usually caused by changes in requirements, misjudging the effort, blocker ...
By V. Sunder, P. Deepalakshmi
INTEGRATING LEAN THINKING AND GREEN MANUFACTURING FOR SUSTAINABLE ENVIRONMENTAL PERFORMANCE IMPROVEMENT
The issue of environmental sustainability is now a challenge for manufacturers in developing economies, in which the use of resources is high and the use of cleaner technologies is not widespread. Little evidence of how lean thinking translates into environmental outcomes in the context of green manufacturing is found, especially in the Iraqi indus...
By Asfad Murtada Said, Mundher Abbas Shaalan, Kabas Zuhir Alhasani
POST-MERGER INTEGRATION STRATEGIES AND THEIR INFLUENCE ON EMPLOYEE ADAPTABILITY AND ORGANIZATIONAL RESILIENCE IN THE IT SECTOR: A STRUCTURAL MODEL APPROACH
Mergers and Acquisitions (M&A) have been found to be one of the major strategies used in achieving growth, innovation, and competition within the IT industry. Nonetheless, most of the previous studies have focused either on the impact of M&As from the point of view of financial performance or the perspective of employees. The current resear...
By Madhan Shanmugasundaram, P Saravanan, V. M Ponniah
DEVELOPING A COMPREHENSIVE HEALTH SCORING SYSTEM FOR STATIC, ROTATING, AND ELECTRICAL EQUIPMENT IN OIL REFINERIES
The proper functioning of static, rotating, and electrical equipment plays a vital role in ensuring the safety and uninterrupted production process within an oil refinery environment. In this research, an all-encompassing framework of an Equipment Health Score (EHS) will be formulated through a combination of lifecycle condition, operations data, m...
By Agustinus Pindoan Panjaitan, Ranu Fauzan, Eko Sunarno, Dedi Apriadi, Rachman Setiawan
A HYBRID ENSEMBLE–DEEP LEARNING SYSTEM FOR MULTI-CROP RECOMMENDATION USING LIGHTGBM, CATBOOST, AND MLP
It is essential in the context of precision agriculture to be able to give accurate advice about the types of crops to grow, as the suitability of a crop depends on the complicated, nonlinear interactions between soil fertility, nutrient levels, and climatic conditions. Although the existing body of literature currently evaluates each recommender s...
By B Ammanni, Sreerama Murty Maturi
VIRTUAL CONSUMER TWIN FRAMEWORK FOR PREDICTIVE MARKETING AND CUSTOMER RETENTION
Organizations that want to gain a competitive advantage have focused on customer retention. However, traditional approaches to customer relationship management do not account for changing customer behaviour in the digital realm. This work suggests the Virtual Consumer Twin Framework (VCTF) for customer retention and predictive marketing through del...
By V. Suganya, Priya Sethuraman, K. Latha, Kiruthiga Balasubramanian