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The study examines the production, operational, technological, environmental, economic and financial risks affecting agribusinesses. The primary objective is to identify and prioritise the barriers to the humanitarian system's operational dynamics that focus on indemnifying the farmers' income in India.

The integrated interpretive structural modelling (ISM)-fuzzy analytical network process (FANP) approach systematically analyses the dynamic interrelationships among barriers, offering a comprehensive framework for agribusiness risk management. The barriers are identified by synthesising literature with the PSALSAR framework. The 18 barriers are clustered into five groups based on phases: planning, designing, execution, implementation and disbursement. The ISM constructs structural hierarchies to identify the interactions among these barriers, while FANP quantifies and establishes the interlinkages between them.

The proposed model's results reveal that “Skewed Stakeholder Engagement and Data-Deficient Ecosystem” are the most severe barriers to the humanitarian system's operational dynamics. By highlighting the significance of these obstacles, the study contributes to a targeted approach for optimizing resource allocation and enhancing the resilience of humanitarian operations.

Findings enable decision-makers to design more effective interventions and improve operational workflows, particularly essential in contexts with limited resources and pressing time constraints. The study suggests collaboration between humanitarian organisations, governments and stakeholders in developing strategies for addressing barriers.

The study investigates barriers to the dynamic settings of humanitarian operations within the agricultural sector. The research employs a novel approach to analysing the barriers across the various phases of the humanitarian system operating in distinct political, environmental and social settings.

The unexpected outbreak of COVID-19 has expedited the trend toward online education. To facilitate undisruptive learning, EdTech companies are continuously working on providing solutions to restore teaching and learning practices. This has caused a significant behavioral shift of the investors in the EdTech market. This study aims to analyze the effects of Web Market Traffic on the increased number of investors funding an EdTech Company in the market.

By drawing on the multi-method web analytics approach, this study analyses the nexus between Web Market Traffic and Investor's Behavior in the US and India, proving the hypothesized relationship in the proposed Model using a data sample of 300 EdTech Players.

There is a significant difference between the investor's behavior in India and the US. This study shows that the investors in the US are more inclined towards investing in EdTech companies in comparison to India. The Results demonstrate that monthly visits of consumers and the number of acquisitions by players positively affect the investor's behavior, while bounce rates take a toll on the number of investors.

This Study suggests that EdTech investors in the US and India should harness Web Traffic to capture the EdTech market. Further, this study offers practical implications that EdTech players can use to attract potential investors and increase brand visibility by improving web market traffic parameters.

This paper's original contribution is to empirically shed light on the effects of web market traffic on the investor's behavior. The study emphasizes the quintessentiality of managing the bounce rates and monthly visits for an EdTech market to attract more investors and capital inflow that enhance brand visibility. The study found that the investors behave distinctly in the developed and emerging markets in the US and India.

On the basis of an exploratory research, the purpose of this paper is to identify the criteria used by new entrants to the workforce (specifically premium millennial talent) while making job choices.

Using signal theory, the study attempts to explore what drives prospective millennial candidates to apply to a particular job role by identifying the components that form the initial anticipatory psychological contract (iAPC) of millennial talent from a tier-1 technological school in India and the factors that drive their job application intent. It is an exploratory study which uses survey data from 335 respondents.

The study identifies the critical components of the iAPC of this set of talent. It highlights the transactional approach of this cohort to evaluate prospective job roles.

This research is based on an exploratory study which was carried out in a single school in India and may be used as a concept for designing and implementing more generalized studies using standardized tools of measurement in the future. The study highlights the fact that this cohort attends to the transactional components of the signals sent out by recruiters to a larger extent than to other kinds of signals which may be communicated by employers. HR communication strategies for connecting with this set may emphasize the unique employment proposition to potential recruits using the findings from this study to better engage with this cohort.

The current research gives indications on the components of the iAPC for this cohort and would help HR form appropriate strategies to attract this set of talent.

This research takes a fresh line of reasoning to explain what parameters would drive fresher millennial talent to apply for a job at an organization. It views the group through a generational theory paradigm and signaling theory forms the backdrop for this study. Further, since the study is based on an Indian sample, it contributes to literature from a non-western context.

This study aims to investigate the ways mobile hybrid team members make sense of their teamwork.

Using surveys, this study examined 579 US-based mobile hybrid team members as they discussed their professional team activities. Leximancer software determined, through frequency and co-occurrence analysis of survey-resulting unstructured data sets, the themes mobile hybrid team members use to make sense of their teamwork.

Participants included the concepts Team, Technology, Communication, Context and Time relative to 25 specific content themes within their talk about teamwork. While thematic clusters such as Team and Communication were densely packed, Technology and Time co-occurred more widely in support of other content themes within the mobile hybrid team member data set. This suggests mobile technologies pervade mobile hybrid team members’ sensemaking about their work.

A first of its kind inquiry into how mobile hybrid team members make sense of work and performance within their teams, this study highlights the need to explore further how mobile hybrid team members frame and enact technological processes as integral to their organizational work and team outcomes.