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This conversation highlights the need to rethink how we approach disaster risk reduction in different South Asian contexts.

This paper is based on the webinar held as part of Asia Week at the University of Copenhagen which was organised by Asian Dynamics Initiative and Copenhagen Centre for Disaster Research on the September 12, 2023.

The prominent themes emerging from this conversation represents hybridity, self-rule and self-recovery. Along with this we suggest a fundamental turn to ensuring hope, solidarity and empathy is part of a post-colonial future.

The conversation contributes to the ongoing discussions on moving away from colonial practices in disaster risk reduction and disaster studies broadly.

There are two theoretical concepts that can be taught in this case.The new approach to teaching entrepreneurship is termed “lean start-up” and “hypothesis-driven entrepreneurship.” The business model canvas is a core tool of this approach. This framework defines nine key components of a successful business strategy. These components include defining value propositions; identifying customer segments; identifying channels; maintaining customer relationships; defining key activities, key resources and key partners; understanding the revenue model of the business; and the organization’s cost structure. This is considered to be a rigorous approach to learning about and developing a new venture.The other theoretical approach that can be discussed through this case is the link between uncertainty and entrepreneurial growth. These theories associate the willingness of entrepreneurs to bear the perceived uncertainty associated with entrepreneurial acts as representative of the belief-desire model. There is a need for entrepreneurs to experiment and search for alternative paths forward in order to counter this uncertainty. Systematic search processes to discover relevant information will strengthen this process.

This case is based on primary data collected through interviews with company personnel. The company consented freely to the use of their data in the case. The authors have no connection with the company. The four student coauthors had previously pursued an internship with the company and had worked on the machine learning analysis part.The two faculty coauthors in the case contacted the company after the internship and discussed the opportunity to write the case on the company. One of the faculty then interviewed key personnel in the company, including one of the co-founders.

Xoxoday is a technology company that provides employee rewards and corporate gifting to its customers. The company was started by Sumit Khandelwal, Manoj Agarwal, Abhishek Kumar and Kushal Agarwal. In 2018, the company reinvented itself as an experiential gifting company.The company faced some challenges during the lockdowns imposed due to COVID-19. Khandelwal knew that they had to try something new to achieve higher growth in the future. He wondered if higher usage of technology was the solution. It was necessary for them to carve a new path in these times.

This case study can be used at the undergraduate level in courses relating to entrepreneurship strategy and business models for entrepreneurs.The case can be used to highlight the dilemmas faced by entrepreneurs due to unforeseen crises. This case is relevant for classes that will discuss growth crises and out-of-the-box solutions for unprecedented crisis situations.

Si-based micro electro mechanical systems (MEMS) magnetometer does not require specialized magnetic materials avoiding magnetic hysteresis, ease in fabrication and low power consumption. It can be fabricated using the same processes used for gyroscope and accelerometer fabrication. The paper reports the dicing mechanism for the released MEMS xylophone magnetic sensor fabricated using wafer bonding technology and its characterization in ambient pressure and under vacuum conditions. The purpose of this paper is to dice the wafer bonded Si-magnetometer in a cost-effective way without the use of laser dicing and test it for Lorentz force transduction.

A xylophone bar MEMS magnetometer using Lorentz force transduction is developed. The fabricated MEMS-based xylophone bars in literature are approximately 500 µm. The present work shows the released structure (L = 592 µm) fabricated by anodic bonding technique using conducting Si as the structural layer and tested for Lorentz force transduction. The microstructures fabricated at the wafer level are released. Dicing these released structures using conventional diamond blade dicing may damage the structures and reduce the yield. To avoid the problem, positive photoresist S1813 was filled before dicing. The dicing of the wafer, filled with photoresist and later removal of photoresist post dicing, is proposed.

The devices realized are stiction free and straight. The dynamic measurements are done using laser Doppler vibrometer to verify the released structure and test its functionality for Lorentz force transduction. The magnetic field is applied using a permanent magnet and Helmholtz coil. Two sensors with quality factors 70 and 238 are tested with resonant frequency 112.38 kHz and 114.38 kHz, respectively. The sensor D2, with Q as 238, shows a mechanical sensitivity of 500 pm/Gauss and theoretical Brownian noise-limited resolution of 53 nT/vHz.

The methodology and the study will help develop Lorentz force–based MEMS magnetometers such that stiction-free structures are released using wet etch after the mechanical dicing.

This study aims to shed some light on the subject matter of the exploration of public medical coverage and elderly done as such far across the world. To achieve this objective, a comprehensive bibliometric examination was used to investigate papers published between the years 1960 and 2020. An aggregate of 366 papers was selected and analysed for the same. The investigation endeavours to recognise the journals with outstanding performance in this field, distribution of papers concerning the year of their publication, most referred to papers. Then various maps depicting bibliometric networks are provided, namely, the joint-authorship network map, inter-country joint-authorship network map and keyword co-occurrence network map.

To achieve the objective of this study, the Scopus database was used for comprehending the vast magnitude of information about numerous papers included in this paper. VOSviewer has been used to create a joint-authorship network map, inter-country joint-authorship network map and keywords concurrences network map.

The result of this investigation demonstrates that the highest number of publications came out in the year 2019, the most notable journal is Journal of Aging and Social Policy, and the most referred to research paper is about long-term care insurance (LTCI) in Japan. The USA is the most productive nation with the most elevated number of papers published under its name. Tamiya N. has teamed up with the highest number of authors, which is 29. Again the USA is the nation that participated with the highest number of authors of different countries in the research paper.

This paper accord with the current writing on public health insurance and elderly. A much far-reaching and solid image of this sector is given using the bibliometric analysis technique. The authors keen on directing future exploration on this topic can take guidance from the results of this study.

Human development is critical for fostering economic growth and development. Given the importance of human development, this study examines the asymmetric impact of Foreign Direct Investment (FDI) on human development by decomposing total FDI into positive and negative shocks in five South Asian countries from 1990 to 2021.

The study uses the panel Non-linear Autoregressive Distributive Lag model (NARDL) to examine asymmetric long and short-run effects of FDI. Further, the direction of causality between HDI and FDI is examined using the recently developed (Joudis et al., 2021) panel granger non-causality test.

The positive and negative FDI shocks positively impact HDI, but positive shocks have a higher effect than negative shocks in the long run. The Wald Test rejects the long-run symmetric effect, confirming the asymmetric relationship between FDI and human development. More importantly, causality results reveal the FDI-led HDI and HDI-led FDI development in South Asia.

FDI should be encouraged by formulating a well-tailored policy intervention. The development policies should be interlinked with FDI policies. Absorptive capacities such as infrastructure facilities, a threshold level of human capital, and institutions should be strengthened to attract higher FDI into high-tech sectors.

Unlike the previous empirical studies, this study provides asymmetric evidence between FDI and human development in South Asia.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-05-2023-0380.

This paper aims to explore the underlying intention behind using blockchain technology (BLCT) in the agri-food supply chain (AFSC). This is achieved by using a conceptual framework based on technology acceptance models that considers various factors influencing user behavior toward implementing this technology in their practices.

The conceptual framework developed is empirically validated using structural equation modeling (SEM). A total of 258 respondents from agri-food domain in India were involved in this survey, and their responses were analyzed through SEM to validate our conceptual framework.

The findings state that food safety and security, traceability, transparency and cost highly influence the intention to use BLCT. Decision-makers of the AFSCs are more inclined to embrace BLCT if they perceive the usefulness of the technology as valuable and believe it will enhance their productivity.

This study contributes to the existing literature by providing thorough examination of the variables that influence the intention to adopt BLCT within the AFSC. The insights aim to benefit industry decision-makers, supply chain practitioners and policymakers in their decision-making processes regarding BLCT adoption in the AFSC.

This study investigates how decision-makers’ perceptions of BLCT influence their intention to use it in AFSCs, as well as the impact of the different underlying factors deemed valuable in the adoption process of this technology.

The authors' research examines how negative electronic word-of-mouth (e-WOM) alters focal customers' post-recovery justice perceptions and attitudes to determine their future behavior with the service provider. Specifically, this paper develops and tests a conceptual model to investigate how negative e-WOM alters focal customers' perceptual and attitudinal outcomes after the service recovery experience. It also examines the post-recovery effect of negative e-WOM on focal customers’ willingness to patronize the service after their recovery experience.

To test the hypotheses, two pretests and two experimental studies with created scenarios in the retail context were conducted.

The authors' findings reveal that services are judged during and well beyond failure and recovery occurrences. To maintain a loyal customer base, service managers should develop processes that address service complaints both within and beyond the service consumption stage. The authors also find that despite a favorable recovery, focal customers gravitate toward the failure experience and develop unfavorable attitudes toward the service provider, leading to likely defections.

The authors' research demonstrates the persuasive power of negative e-WOM at the post-service recovery stage, making a unique contribution to the service recovery literature. This research also contributes to the persuasive effect of negative e-WOM, demonstrating message context as a boundary condition of negative e-WOM effects. In general, the authors' work highlights the importance of understanding the psychological processes involved in eliciting the persuasive influence of negative e-WOM in the post-service recovery stage that may lead to the defection of “so-called” successfully recovered customers.

The purpose of this paper is to identify the challenges surrounding the implementation of digital technology (DT) agri-food supply chain (AFSC) and explore how these challenges relate to the various sustainability dimensions. Additionally, it aims to assess how these challenges are interconnected in relation to achieving sustainable development goals (SDGs).

The study employs a mixed-method approach utilizing the EFA-ISM-Fuzzy DEMATEL technique. To support and validate the findings, exploratory factor analysis (EFA) categorized 12 critical challenges in sustainable dimensions from 141 participants' responses. Furthermore, interpretive structural modeling (ISM) and decision-making trial and evaluation (DEMATEL) methods were used to obtain the interrelationship and hierarchical structure of the challenges.

The study identified 12 critical challenges while adopting DT in AFSC. These challenges were categorized into four sustainable dimensions: technological, economic, environmental and social. These challenges hinder the achievement of SDGs as well. Lack of regulatory and policy framework with security and privacy issues were the key challenges faced while adopting DT. These observations emphasize the necessity for government and policymakers to prioritize tackling the identified challenges to successfully endorse and execute DT initiatives in AFSC while also fulfilling the SDGs.

The implication underscores the need for collaboration among various stakeholders, such as governments, policymakers, businesses and researchers. By collectively addressing these challenges, DT can be leveraged optimally, fostering sustainable practices and making progress toward achieving the SDGs within the AFSC.

The study uses a combination technique of EFA and ISM-DEMATEL to identify the challenges faced in Indian AFSC while adopting DT and categorizes the interrelation between the challenges along with fulfilling the SDGs.

Earlier, the consumption of products was based mainly on their utilitarian benefits, but at present, the love for nature has driven consumers towards products not harming the environment and society. Therefore, this paper aims to examine the influence of consumers' attitudes towards organic personal care products on brand love, brand trust, altruism and sustainable consumption behaviour. Furthermore, the study further examines the impact of sustainable consumption behaviour on continuous purchase intention using health consciousness as a moderator. Finally, the study validates Behavioural Reasoning Theory and the emotional affinity towards nature to understand the proposed claims.

The data were collected from 364 respondents from India. Only those respondents were included in the survey who had prior experience of using organic personal care products. This study used the structural equation modelling approach to test the conceptual model.

Results of the study confirmed the positive influence of consumer attitude on brand love, brand trust and altruism. Brand love and altruism had a significant impact on sustainable consumption behaviour. Health consciousness also emerged as a moderating variable between sustainable consumption behaviour and continuous intention. Interestingly, the brand trust had no impact on sustainable consumption behaviour. Furthermore, sustainable consumption behaviour had a significant impact on continuous intention.

The study is helpful to organic product companies, practitioners, academicians, environment protection agencies and market regulatory authorities as it gives fresh insight into the new collective relationship of consumer attitude with brand love, brand trust, altruism and sustainable consumption behaviour in case of organic personal care products.

The purpose of this paper is to implement a closed loop regulated bidirectional DC to DC converter for an application in the electric power system of more electric aircraft. To provide a consistent power supply to all of the electronic loads in an aircraft at the desired voltage level, good efficiency and desired transient and steady-state response, a smart and affordable DC to DC converter architecture in closed loop mode is being designed and implemented.

The aircraft electric power system (EPS) uses a bidirectional half-bridge DC to DC converter to facilitate the electric power flow from the primary power source – an AC generator installed on the aircraft engine’s shaft – to the load as well as from the secondary power source – a lithium ion battery – to the load. Rechargeable lithium ion batteries are used because they allow the primary power source to continue recharging them whenever the aircraft engine is running smoothly and because, in the event that the aircraft engine becomes overloaded during takeoff or turbulence, the charged secondary power source can step in and supply the load.

A novel nonsingular terminal sliding mode voltage controller based on exponential reaching law is used to keep the load voltage constant under any of the aforementioned circumstances, and its performance is contrasted with a tuned PI controller on the basis of their respective transient and steady-state responses. The former gives a faster and better transient and steady-state response as compared to the latter.

This research gives a novel control scheme for incorporating an auxiliary power source, i.e. rechargeable battery, in more electric aircraft EPS. The battery is so implemented that it can get regeneratively charged when primary power supply is capable of handling an additional load, i.e. the battery. The charging and discharging of the battery is carried out in closed loop mode to ensure constant battery terminal voltage, constant battery current and constant load voltage as per the requirement. A novel sliding mode controller is used to improve transient and steady-state response of the system.