Search Results (5)

This study examines how societal ageing influences insurance purchasing intentions, addressing the prevailing emphasis on elderly consumers and the limited conceptual integration of ageing within existing behavioural models. Following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, a systematic review was conducted using an initial search (forty-three studies) supplemented by a top-up search in November 2025 that identified fourteen additional articles. Using the theories-contexts-characteristics-methods (TCCM) framework, the review synthesises theoretical, contextual, characteristic, and methodological patterns in this field. The findings indicate that although variables such as risk perception, anticipated dependence, and interpersonal influence are frequently examined, ageing itself is seldom conceptualised as an explanatory construct, constraining theoretical precision and practical relevance. To bridge this gap, the study introduces ageing risks (AR)—capturing perceived financial, health, and intergenerational uncertainties associated with demographic ageing—and illustrates its integration within the Theory of Planned Behaviour (TPB). The review highlights the need to validate AR empirically, extend research to non-elderly populations and underexplored regions, and broaden methodological approaches. These contributions strengthen theoretical development and inform more responsive insurance strategies in ageing societies. Full article

As artificial intelligence (AI) technology becomes increasingly prevalent in the tourism sector, an in-depth exploration of its opportunities and potential risks for the United Nations Sustainable Development Goals (SDGs) is urgently needed. However, existing research falls short in constructing an integrated knowledge framework that systematically clarifies how AI can effectively advance sustainable tourism, leaving theoretical understanding and practical pathways relatively fragmented. To address this gap, this study employs a systematic literature review following the strict SPAR-4-SLR protocol and integrates a domain-based TCCM (i.e., theories, contexts, characteristics, and methods) analysis framework. A total of 177 core articles from the Scopus and Web of Science databases were rigorously analyzed. This study first examines publication trends, key journals, and the citation impact of AI in tourism. It then systematically synthesizes the theoretical foundations, research contexts, characteristics, and methodologies. Most importantly, this review delves into the antecedents, decision-making processes (including mediating and moderating variables), and outcomes of AI applications in the tourism industry. This study not only delineates a clear direction and agenda for future academic inquiry but also provides theoretical support and practical guidance for policymakers and tourism managers to design and implement AI-driven sustainable tourism strategies. Full article

In the evolving digital marketplace, consumer behaviour is increasingly shaped by green marketing strategies, particularly in the context of sustainable consumption. This study aims to examine the mechanisms through which green content marketing and green affiliate marketing influence green variety-seeking shopping behaviours, with particular attention to the role of green shopping motives and the effectiveness of marketing strategies. As traditional retail methods face limitations, digital marketing channels provide new avenues to engage consumers through personalized and dynamic content. Using the Theory–Context–Characteristics–Methodology (TCCM) framework, this research systematically examines the existing literature to identify key theories, contexts, characteristics, and methodologies relevant to variety-seeking behaviours towards green products. The study explores the psychological and behavioural drivers behind shopping choices, offering insights into why consumers exhibit variety-seeking behaviour when purchasing green products. The results indicate that effective green content and affiliate marketing drive variety-seeking behaviour in green shopping, with consumer motives serving as a key mediating factor. The conceptual model developed in this study provides a structured understanding of how modern marketing strategies shape consumer preferences and engagement with green products. This study offers a future research agenda and practical implications for marketers and retailers. By understanding these influences, businesses can refine their marketing strategies to strengthen green shopping motives, encourage sustainable consumption over traditional consumption, and adapt to the dynamic retail landscape. Full article

Mobile learning (M-Learning) has become a popular and effective method of education that leverages the ubiquity of mobile devices. M-Learning has digitally transformed the process of teaching and learning. It has tremendous potential to empower all sections of society through education and training. This study presents a systematic literature review of M-Learning. The articles were retrieved from Scopus and Web of Science databases. After applying inclusion and exclusion criteria, a final selection of 161 articles published between 2016 and 2022 was included in the review. To analyze the articles, the researchers employed the TCCM (Theory, Context, Characteristics, Methods) framework, which facilitated addressing the research questions. This review identified various theories, such as behaviorism, constructivism, cognitivism, situated learning, problem-based learning, context awareness learning, socio-cultural theory, collaborative learning, conversational learning, lifelong learning, informal learning, activity theory, connectivism, navigation, and location-based learning, that are used to support and guide the implementation of M-Learning. In terms of context, developing countries contributed to 70.8% of the studies, while developed countries contributed to 29.1%. Further, a majority of the studies, 93%, involved students followed by faculty members and only two studies involved staff from higher education management. A total of 19 unique characteristic factors have been identified, such as personal, intention, attitude, usage, utility, ease of use, learnability, social, technological, pedagogical, anxiety, enjoyment, accessibility, knowledge, experience, trust, price, and habit. A quantitative research design was used in 90% of the studies, followed by mixed methods research design in 7% of the studies, and qualitative research design in only 3% of the studies. Further, this article synthesizes previous research findings and highlights gaps for future research. Overall, this review contributes to the understanding and advancement of M-Learning as a valuable educational platform. Full article

Diversification into horticulture has become the primary source of livelihood for smallholders. The study analyses trends, theories, settings, constructions, research methods, and findings based on Keynes’ “confidence theory”, the absolute income hypothesis, and the human development index. Using the Theory, Constructs, Characteristics, and Methodology (TCCM) framework, the paper offers a Systematic Literature Review of 67 scholarly research papers with fifty or more citations published between 2000 and 2021 in EBSCO, Scopus, Web of Science, and Google Scholar databases. The study advocates that a Cold Chain must be considered with the intervention of contract farming, government, cooperative or farmer-producer organisations to reap maximum benefits from horticultural production during the off-and-on seasons rather than selling to opportunistic intermediaries. The study also has important implications for future researchers and policy-makers but, most importantly, offers motivation to the investors for safe investment decisions in the cold chain infrastructure development for higher returns to producers cutting across their geographical, sociological, or economic contexts. Full article