The study examines the nexus between AI-driven technology, i.e., robo-advisors, and the behavioural intention of investors towards sustainable investment decisions considering government regulations and sustainable investment awareness as the moderating variables. A total of 372 responses were collected from across India through a structured questionnaire along identified variables from the TAM and UTAUT theories under the select constructs, i.e., trust, perceived risk, user-friendliness, perceived usefulness, and emotional arousal. This is with reference to the use of robo-advisors to unearth the extent to which they influence the behavioural intention and finally the sustainable investment decisions taking into account government regulations and sustainable investment awareness as the moderating variables. The results derived by using PLS-SEM reveal that all the five factors are having a significant impact on the behavioural intention for sustainable investment decisions of the investors. Further, both sustainable investment awareness and government regulations have been found to have a moderating impact on shaping the behavioural intention of the investors with respect to most of the variables. The results of the study come up with significant suggestions for the government, financial institutions, and the investors as well as the academicians, and therefore, have policy implications, managerial implications, and theoretical implications. The constructs and moderating variables considered here can further be used for studying the behavioural intentions. The robo-advisory service providers may emphasize developing the algo ensuring trust, usability, and friendly interface in a manner that tends to minimize the perceived risk and emotional arousal leading to the use of robo-advisors pushing the intention of the investors towards sustainable investment.

The research work identifies and priorities the factors affecting agri-logistics causing wastage of the agricultural products during its transit from farm to the point of consumption so that logistics mechanism for agriculture sector in India can be optimised by removing the barriers leading to hindrances in safe, timely, economical and good condition delivery of the agri consignment. The field of agri-logistics remains at the crucial nexus of the agricultural and logistics industries and has the potential to improve the nation's system for distributing food. The post-harvest wastage in India has been massive due to inefficiencies agri-logistics management and faulty food distribution mechanism. It is an exploratory study that along the factors (barriers) identified and synthesised from literature review of the concerned area. The identified barriers were reduced and finalised in consultation with the experts using Delphi technique. With the help of ISM questionnaire, a model has been developed reflecting the drivers and dependents out of the barriers considered for the study. The result is further validated through MICMAC analysis. The result of the study has come up with the interpretive structure model depicting hierarchy of the barriers pushing from down to top causing agriculture wastage. The paper holds originality in the sense that it comes up with fresh perspectives on the factors causing hindrances in the efficient logistics operation that certainly helps to minimise wastage of the agri-products in the post-harvest stages. The identification of the barriers and their detriments to the other factors will help to take essential steps on how to overcome the issues and optimize the agri-logistics that would minimise the agri-wastage in India and prove to be a game changer to the agri-trade sector.

The transformation from traditional financial methods to the adoption of new financial technologies is a key challenge for micro and small business enterprises in ensuring sustainability. Therefore, the purpose of this study is to identify the key factors of financial literacy and examining their significance in adoption of FinTech by MSEs in Odisha that leads to sustainability of the firm. The study has been conducted using the MCDM technique integrating grey Delphi for relevant factor identification and Fuzzy AHP for prioritizing the factors of financial literacy. In total, 33 financial literacy factors were initially identified through extensive literature review, which were reduced to 18 factors using grey Delphi. Further, these factors were prioritized on the level of their significance towards FinTech adoption, using fuzzy AHP. The results of the study highlighted that financial knowledge holds greater significance among all four criteria of financial literacy, i.e., financial knowledge, financial behaviour, financial attitude, and financial training, towards adoption of FinTech ensuring sustainability in MSEs. The prioritization of the factors further revealed that knowledge of current products and services, evaluation of FinTech products, expenditure behaviour, assurance for the future security, and financial education have the most significant impact on the adoption of FinTech services by entrepreneurs. The study is innovative as it shows the importance of financial literacy factors in influencing the adoption of FinTech by micro and small businesses, which helps in ensuring firms’ sustainability. The results of the study have come up with some key factors, which need to be considered at priority basis if an MSE is willing to adopt FinTech services for its operations to ensure sustainable practices.

The advent of technology and economic development has led to environmental degradation on various fronts. Today's economic development is largely driven by the efficient and effective logistics and supply chain operation which yields implicit logistics issues including wastage of the resources, carbon emission, and that of the greenhouse gases leading to climate change. The issues have gathered attention of the global community toward having a sustainable environmentally friendly distribution system that may lead toward low-carbon emission SCM and logistics mechanism. Therefore, this necessitates the model that may lead the age toward carbon neutrality. In this connotation, the study tries prioritizing the factors which plays a significant role in ensuring green logistics with low-carbon emission toward net-zero emission by using analytical hierarchy process (AHP) method. The research has been conducted along nine experts' perception on the comparative scale for the identified criteria. The multidimensional decisive framework focuses on 5 significant criteria, i.e., operational efficiency, resource utilization and management, infrastructural efficiency, cargo handling mechanism, and logistics personnel efficiency identified aspects based on literature survey which have further expansion up to total 20 sub-criteria along which the survey has been conducted using AHP questionnaire. The AHP analysis result has come up with the empirical result providing scope for decision-making by Indian logistics firms to adopt carbon neutrality toward attainment of net-zero emission.