The agricultural industry is getting more data-centric and requires precise, more advanced data and technologies than before, despite being familiar with agricultural processes. The agriculture industry is being advanced by various information and advanced communication technologies, such as the Internet of Things (IoT). The rapid emergence of these advanced technologies has restructured almost all other industries, as well as advanced agriculture, which has shifted the industry from a statistical approach to a quantitative one. This radical change has shaken existing farming techniques and produced the latest prospects in a series of challenges. This comprehensive review article enlightens the potential of the IoT in the advancement of agriculture and the challenges faced when combining these advanced technologies with conventional agricultural systems. A brief analysis of these advanced technologies with sensors is presented in advanced agricultural applications. Numerous sensors that can be implemented for specific agricultural practices require best management practices (e.g., land preparation, irrigation systems, insect, and disease management). This review includes the integration of all suitable techniques, from sowing to harvesting, packaging, transportation, and advanced technologies available for farmers throughout the cropping system. Besides, this review article highlights the utilization of other tools such as unmanned aerial vehicles (UAVs) for crop monitoring and other beneficiary measures, such as optimizing crop yields. In addition, advanced programs based on the IoT are also discussed. Finally, based on our comprehensive review, we identified advanced prospects regarding the IoT, which are essential tools for sustainable agriculture.

Advanced technologies and innovation are essential for promoting sustainable food systems (SFSs) because these technologies can be used to answer some of the critical questions needed to transform SFSs and help us better understand global food security and nutrition. The main objective of this study is to address the question of whether technological innovations have an impact on the transformation of SFSs. There are certain innovations including agricultural land utilization, food processing, production systems, improvement in diets according to people’s needs, and management of waste products. This study provides an overview of new technologies and innovations being used with potential to transform SFSs. Applications of emerging technologies in digital agriculture, including the Internet of Things (IoT), artificial intelligence and machine learning, drones, use of new physical systems (e.g., advanced robotics, autonomous vehicles, advanced materials), and gene technology (e.g., biofortified crops, genome-wide selection, genome editing), are discussed in this study. Additionally, we suggest eight action initiatives, which are transforming mindsets, enabling social licensing, changing policies and regulations, designing market incentives, safeguarding against undesirable effects, ensuring stable finance, building trust, and developing transition pathways that can hasten the transition to more SFSs. We conclude that appropriate incentives, regulations, and social permits play a critical role in enhancing the adoption of modern technologies to promote SFSs.

Purpose: This study delves into the intricate dynamics between technological readiness, knowledge sources and their collective impact on firms' ability to achieve ambidextrous green innovation (GI). It specifically aims to dissect the moderating influence of resource orchestration capability (ROC) in this nexus, proposing a nuanced exploration into how technological preparedness and the strategic utilisation of both internal and external knowledge sources can significantly steer firms towards successful exploitative and exploratory GI endeavours. Design/methodology/approach: The study draws upon resource orchestration theory, integrating a cross-sectional approach that incorporates primary data from Pakistani manufacturing firms. The data consisting of 452 responses was analysed employing Partial Least Squares Structural Equation Modelling (PLS-SEM). Findings: The research verifies that technological readiness has a substantial influence on exploitative and exploratory GI. Moreover, it reveals that both internal and external knowledge resources mediate the link between technological readiness and ambidextrous GI. Notably, while ROC enhances the favourable impact of external knowledge resources on both types of GI, it does not significantly moderate the effect of internal knowledge sources. Practical implications: Managers must prioritize enhancing technological preparedness and strategically coordinating knowledge resources to drive both exploitative and exploratory environmentally friendly innovation. Investments in technology and collaborations with external partners, guided by strong resource management capabilities, are crucial for achieving sustainable innovation. Originality/value: This research contributes to ambidextrous GI literature by examining the roles of technological readiness, mediated by internal and external knowledge sources and moderated by ROC. It offers detailed insights into the mechanisms that promote sustainable innovation, enriching the current understanding of the subject.

The growing influence of social media personalities in shaping consumer behavior presents significant opportunities and challenges for marketers. This research integrates Social Identity Theory with the influencer marketing literature to investigate how influencer self-disclosure affects word-of-mouth intentions through consumer identification. Across four experiments (N = 1048), we demonstrate that high influencer self-disclosure consistently increases consumers’ word-of-mouth intentions compared to low self-disclosure. Consumer identification with the influencer mediates this relationship, providing a psychological mechanism through which personal narratives translate into advocacy behaviors. Furthermore, we identify two important boundary conditions: self-concept clarity moderates the relationship between self-disclosure and identification, with stronger effects for consumers experiencing identity uncertainty; and cultural collectivism orientation moderates the identification-to-WOM pathway, with collectivistic mindsets amplifying the translation of identification into advocacy. These findings contribute to both theory and practice by elucidating the psychological processes underlying influencer effectiveness and offer strategic guidance for optimizing influencer communication across diverse consumer segments and cultural contexts.

Influencer marketing practice predominantly favors same-niche partnerships; however, industry evidence suggests that unconventional pairings can sometimes outperform traditional matches, highlighting a knowledge gap regarding how collaboration structure influences consumer response. Drawing on Optimal Distinctiveness Theory, this research examines whether cross-niche collaborations enhance brand evaluations by fulfilling concurrent desires for inclusion and differentiation. Four controlled experiments (total N = 1482) employing Instagram-style stimuli and behavioral intention measures compare same- versus cross-niche alliances while manipulating or measuring consumers’ need for uniqueness and category expertise. Across studies, cross-niche (versus same-niche) collaborations consistently improve brand attitude, an effect fully mediated by heightened perceptions of brand innovation. Moderation analyses reveal that this indirect effect is amplified among consumers high in need for uniqueness but attenuated—and in some cases reversed—among category experts, who tend to prefer the depth signaled by same-niche partnerships. Alternative explanations, including curiosity, source credibility, and message liking, are empirically ruled out. These findings extend Optimal Distinctiveness Theory to influencer branding by identifying collaboration type as a market-level cue signaling innovation while refining influencer effectiveness models through a dual-contingency framework that incorporates motivational and knowledge-based audience factors. From a managerial perspective, the results suggest deploying cross-niche alliances when targeting novelty-seeking or novice segments while preserving niche purity or offering technical justification when addressing expert consumers, thereby aligning collaboration strategies with audience composition.