Marketers are facing new challenges of marketing in the new millennium due to the changes in the consumer buying behavior associated with disruptive innovation, virtual communication, purchasing habits and consumption pattern. The rapid rise of online marketing has captured the attention of marketers and consumers nowadays. At present online shopping became the ideal for the people in the world. In Saudi Arabia most of the citizens having the access of internet facility and good purchasing power however still e-shopping are not in trend of Saudi Arabian consumers; around 62% of the population of the country did not even shop online by Al-Salamin (2014). The objectives of the study are to provide an in-depth understanding regarding customer perception on e-shopping, payment method were used; the risk factors involved and the preferable devices were utilized for e-shopping. For the study a survey of 128 respondents of Saudi Arabia were conducted during the period of 3 months from September to November 2015. Data collection was carried out using a structured and close ended questionnaire. The received data were coded and analyzed with suitable statistical tools. It was investigated that the majority of the respondents had involved in e-shopping, 73% of respondents are feeling e-shopping as easy shopping, 44% consumer use credit card as a payment method and 40% of the respondents preferred to buying product/ services through laptop when buying online. The quality of product was reported as a highest worrying factor by the majority of respondents.

Corporate Social Responsibility (CSR) initiatives on consumer preferences in the organic food sector cannot be overlooked. Consumers nowadays are more aware of their purchasing behavior compared to the past; hence, this research aims to investigate whether consumers prefer brands of companies that participate in CSR activities over those that do not. To achieve the research's aims, qualitative approaches were employed to capture rich perspectives. A systematic review was conducted using peer-reviewed articles and academic studies available in leading databases. The research findings indicate that health-oriented consumers tend to prefer brands that engage in genuine CSR activities. Additionally, it suggests that CSR enhances customer brand loyalty, improves product quality, and promotes healthy lifestyles. These initiatives highlight the importance of CSR in influencing customer decisions and trust, as well as in enhancing public health, market competitiveness, and overall social well-being.

This study investigates peri-urban land management in Uttar Pradesh through a comparative analysis of Varanasi, Kanpur, and Prayagraj, focusing on the gap between planned frameworks and actual urban growth. As rapidly expanding Tier-II cities, they represent critical sites where formal planning intersects with complex peri-urban transformations. The study employs a mixed-method approach, combining GIS-based master plan conformance analysis using Effective Boundary Control (EBC) with semi-structured expert interviews. This integration enables both spatial measurement of urban expansion and interpretive understanding of underlying governance and institutional dynamics. The results reveal significant divergence between planned and observed development, particularly in peripheral areas, with clear variation across cities. Kanpur exhibits the highest level of non-conformance (EBC: 2.23), indicating weak boundary control and pronounced peri-urban sprawl. Varanasi also demonstrates substantial deviation (EBC: 2.06), reflecting persistent gaps between planning intent and implementation. In contrast, Prayagraj shows relatively stronger conformance (EBC: 1.04), though underlying challenges remain. These differences are shaped by local conditions, including land acquisition conflicts, fragmented governance structures, infrastructure deficits, and limited financial mechanisms. Importantly, the findings underscore that even where spatial conformity appears stronger, it does not necessarily translate into effective planning outcomes. The study concludes that peri-urban growth is not simply unplanned but is shaped by negotiated and context-specific processes. It highlights the need for adaptive, implementation-focused planning, stronger institutional capacity, and integrated financial strategies. By bridging spatial and qualitative analysis, the research provides a more comprehensive framework for understanding and managing peri-urban development in rapidly urbanizing regions.

Early architectural decisions shape building energy demand and life cycle carbon, yet digital support remains fragmented across modelling, simulation and performance workflows. This systematic review examines how digital twin (DT) frameworks, tools and workflows are applied at the architectural design stage to support net-zero building performance. It investigates whether design-stage digital twins function as decision support systems or remain BIM-plus-simulation workflows carrying a twin label. Following PRISMA 2020, Scopus, Web of Science, IEEE Xplore, ScienceDirect, SpringerLink and Taylor & Francis Online were searched, supplemented by citation searching. Searches were completed on 28 March 2026 and restricted to English-language, peer-reviewed publications meeting eligibility criteria. Thirty-three studies formed the analysed corpus, comprising 10 Tier 1 core digital twin studies, 15 Tier 2 DT-oriented studies and 8 Tier 3 DT-enabling studies, while 19 review and contextual sources supported framing. Studies were coded by DT conceptualisation, framework type, enabling technology, life cycle stage, net-zero indicator and validation approach. Findings were synthesised descriptively and thematically, and evidence maturity was assessed using a six-domain appraisal covering reporting quality, digital twin completeness, design-stage relevance, validation quality, reproducibility and architect usability. Only 11 studies, representing 33% of the corpus, were anchored in concept or schematic design. BIM, building-performance simulation and parametric or generative modelling were dominant, while IoT and AI or machine learning supported prediction, surrogate modelling and control. Energy was addressed in 26 studies and thermal comfort in 10, whereas embodied carbon, daylight, renewable generation and indoor air quality received limited attention. Eight studies were classified in the ‘Measured/large empirical’ validation class. Methodological heterogeneity and limited empirical validation precluded meta-analysis. Design-stage digital twins remain emerging rather than mature decision support systems. The review was retrospectively registered on the Open Science Framework (DOI: 10.17605/OSF.IO/N5Z8H) and received no external funding.