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E-healthcare has gained importance, particularly in emerging economies, because of its ability to provide health-care products and services while minimizing contact with the external world, which was particularly relevant during the COVID-19 pandemic. Despite its advantages, consumers seem hesitant to use mobile apps to access such services. Previous research has found that perceived usefulness, time consumption and price significantly impact consumer willingness to purchase e-healthcare products on mobile apps. This study aims to investigate the role of consumer trust in the willingness to purchase e-healthcare products on mobile apps while controlling for the effects of perceived usefulness, time consumption and price.

Data have been collected using non-probability judgmental and snowball sampling techniques from five major cities in India. After the data cleaning process, 238 questionnaires were used for data analysis in this study. The authors used confirmatory factor analysis to validate all the constructs and subsequently used the hierarchical regression technique to conduct this study.

The study’s findings show that consumer trust is the most crucial factor for predicting a willingness to purchase e-healthcare products through mobile apps, despite several other variables that also have a positive impact. These findings present important practical implications for mobile app developers, health-care professionals and lawmakers to further enhance the adoption of e-healthcare products on mobile apps.

The research was conducted by considering primarily young adults (those between the ages of 20 and 45 – above) and targeted five cities in India. This highlights a limitation in the research, as small groups of the intended audience were included (mainly young people).

This study considers perceived usefulness, time and price, in addition to trust, to predict consumer willingness to purchase. Its findings can be valuable in the fields of consumer behavior, health care and technology, especially in emerging markets.

With the advancements in photo editing software, it is possible to generate fake images, degrading the trust in digital images. Forged images, which appear like authentic images, can be created without leaving any visual clues about the alteration in the image. Image forensic field has introduced several forgery detection techniques, which effectively distinguish fake images from the original ones, to restore the trust in digital images. Among several forgery images, spliced images involving human faces are more unsafe. Hence, there is a need for a forgery detection approach to detect the spliced images.

This paper proposes a Taylor-rider optimization algorithm-based deep convolutional neural network (Taylor-ROA-based DeepCNN) for detecting spliced images. Initially, the human faces in the spliced images are detected using the Viola–Jones algorithm, from which the 3-dimensional (3D) shape of the face is established using landmark-based 3D morphable model (L3DMM), which estimates the light coefficients. Then, the distance measures, such as Bhattacharya, Seuclidean, Euclidean, Hamming, Chebyshev and correlation coefficients are determined from the light coefficients of the faces. These form the feature vector to the proposed Taylor-ROA-based DeepCNN, which determines the spliced images.

Experimental analysis using DSO-1, DSI-1, real dataset and hybrid dataset reveal that the proposed approach acquired the maximal accuracy, true positive rate (TPR) and true negative rate (TNR) of 99%, 98.88% and 96.03%, respectively, for DSO-1 dataset. The proposed method reached the performance improvement of 24.49%, 8.92%, 6.72%, 4.17%, 0.25%, 0.13%, 0.06%, and 0.06% in comparison to the existing methods, such as Kee and Farid's, shape from shading (SFS), random guess, Bo Peng et al., neural network, FOA-SVNN, CNN-based MBK, and Manoj Kumar et al., respectively, in terms of accuracy.

The Taylor-ROA is developed by integrating the Taylor series in rider optimization algorithm (ROA) for optimally tuning the DeepCNN.

The purpose of this paper is to explore the phenomenon of collaborative resilience through in-depth case study research in India. This study endeavours to identify and model the critical success factors of collaborative resilience.

Eight critical success factors of collaborative resilience were identified through literature search. Modelling and analysis of these factors was conducted using grey-based DEMATEL method. Data were collected from supply chain experts in Indian industries.

It was found that organizational factors like top management commitment and resilience system design exhibit highest causality on the entire system. Also, co-adaptive transformation and resilience goal alignment are most important for managers. Overall, this research provides a guideline and mechanism to build collaborative resilience in supply chains.

Through the identification of eight critical success factors, this research has related and grounded the concept of collaborative resilience into pre-exiting supply chain practices and concepts. Through rigorous quantitative modelling and analysis of these factors, this research provides a guideline to managers for building collaborative resilience in supply chains.

To the best of the authors’ knowledge, this is the first study that has proposed the concept of collaborative resilience in supply chain and has conducted empirical research on the phenomenon in India.

The purpose of this paper is to identify and prioritize the drivers, enablers and resistors of agri-logistics improvements in an emerging economy like India. The field of agri-logistics lies at the critical intersection of the agricultural and logistics sectors and is capable of ameliorating the state of food distribution in the country. The inefficiencies inherent in the food distribution system in India lead to massive post-harvest wastage that is estimated at around 13bn dollars per annum. This paper examines the improvement drivers, enablers and resistors of agri-logistics that can significantly contribute toward the enhancement of the agricultural supply chain.

The synthesis and prioritization of drivers, enablers and resistors was based on an extensive literature review and consultation with experts. With the help of semi-structured interviews and a fuzzy analytic hierarchy process approach, the research develops a drivers-enablers-resitors framework.

The outcome is a hierarchy-based framework that prioritizes the drivers, enablers and resistors of agri-logistics. The research reveals the critical areas where decision makers should channelize their resources and efforts to gain maximum benefits.

The segmentation of the factors impacting agri-logistics into drivers, enablers and resistors provides a fresh perspective on the issue and helps improve understanding of the problem. Prioritization of the factors represents a unique contribution to the field of agri-logistics.

The new technology aspects of Industry 4.0 (I4.0), such as digital technologies including artificial intelligence (AI), block chain, big data analysis and the internet of things (IoT) as a digital cosmos, have the potential to fundamentally transform the future of business and supply chain management. By augmenting the functional components of the food supply chain (FSC), these technologies can transform it into an intelligent food supply chain (iFSC). The purpose of this study is to identify the I4.0 utilization for FSC to become an iFSC. Additionally, it suggests future research agendas to bridge the academic knowledge gaps.

This study utilizes the bibliometric analysis methodology to investigate the techno-functional components of iFSC in the context of I4.0. The study followed steps of bibliometric analysis to assess existing components’ knowledge in the area of intelligent food supply chain management. It further reviews the selected articles to explore the need for I4.0 technologies’ adoption as well as its barriers and challenges for iFSC.

This study examines the integration of emerging technologies in FSC and concludes that the main emphasis is on the adoption of blockchain and internet of things technology. To convert it into iFSC, it should be integrated with I4.0 and AI-driven FSC systems. In addition to traditional responsibilities, emerging technologies are acknowledged that are relatively uncommon but possess significant potential for implementation in FSC. This study further outlines the challenges and barriers to the adoption of new technologies and presents a comprehensive research plan or collection of topics for future investigations on the transition from FSC to iFSC. Utilizing artificial intelligence techniques to enhance performance, decision-making, risk evaluation, real-time safety, and quality analysis, and prioritizing the elimination of barriers for new technologies.

The uniqueness of this study lies in the provision of an up-to-date review of the food supply chain. In doing so, the authors have expanded the current knowledge base on the utilization of all I4.0 technologies in FSC. The review of designated publications yield a distinctive contribution by highlighting hurdles and challenges for iFSC. This information is valuable for operations managers and policymakers to consider.

This paper aims to provide a critical review of water generation from atmospheric air by using desiccant materials. Over the past few years, there has been very high stress on water scarcity, especially in Asian and African countries. Because of this insecurity, many countries are focusing on their research in the field of water technologies. Water generation from atmospheric air by using desiccant materials is one of the techniques among the air-to-water generators (AWGs).

A structured and systematic literature review has been presented to observe and understand the past trend/patterns in the field of water generation from atmospheric air by using desiccant materials. To understand the water generation technologies based on desiccant materials, the research papers from the years 1987 to 2022 have been studied and included.

The properties of the different and most probable desiccant materials in the field of AWGs have been discussed. A detailed review of testing reports of collected water samples has also been presented in tabular form. Finally, the economic analysis has been done and future prospects have been discussed. It is also found that the capacity of solid desiccant materials to adsorb the water is less as compared to liquid desiccant materials. But, the adsorption capacity can be improved by using composite desiccant materials.

The uniqueness of this manuscript lies in the compiling and examination of the existed published research papers, including variables such as author, year and geographical location, experimental/simulative, types of desiccant material, type of setup, desiccant material type and quantity and type of concentrator. This manuscript provides critique to the empirical and conceptual research in AWG technologies and also stimulates researchers to explore the topic very carefully.

Entrepreneurship, strategy, family business.

MBA, PhD (Mgmt)

DK Dies and Tools was set up initially as a tool room by its founder Krishna Verma. It manufactured machine parts, sheet metal tools, jigs and fixtures, plastic/rubber moulds and metal fabrications. The firm came to be known as DK Exports (henceforth DKX) when it was professionalized in the year 2003 for merchant exporting. Lately, after the founder's demise, professionalization had become a dire need when the firm faced with loss of customers, the market share was taken over by the Chinese, workers' expectations had risen, poor internal communications, search for dynamic capabilities and finally a need to diversify had arisen. Unexpected death of the founder had pushed the firm into doldrums. It was because of the founder's relationship and reputation in the market that the business prospered. Unfortunately, the tacit knowledge he possessed could not be handed over to his son Kunal, which led to complexes in business. Hence, there arose a need for internationalization for finding new customers and markets. Entrepreneurial orientation needed a change. The new Chairman, Kunal, had expertise in operations management, with his wife, Priyanka, looking after development via overseas collaborations. The firm had been struggling to create a two-tier top-level management to decide on operational issues, besides search for newer destinations for increasing the scale of operations.

To understand how multilevel entrepreneurship happens and the importance of translating tacit knowledge to explicit knowledge, especially at times when the founder has to pass the baton to the second generation.

Teaching notes are available for educators only. Please contact your library to gain login details or email support@emeraldinsight.com to request teaching notes.

Research on sustainability has progressed from a singular focus on one aspect to a simultaneous focus on more than one aspect of the triple bottom line. However, there is a dearth of research that explains why sustainability-related decisions in business often do not bear the expected results. Research that provides managers with a tool to achieve environmental sustainability of logistics without compromising the economic sustainability is scarce. Hence, the purpose of this paper is to bridge the above gaps and to explore the factors that affect investment in technology to balance environmental and economic sustainability of logistics. A model based on system dynamics approach explains the simultaneous interplay of these factors. Simulating the model helps the managers of logistics function decide the size of investment in technology, to achieve environmental efficiency without negatively influencing the economic performance.

A model based on system dynamics approach explains the simultaneous interplay of these factors. Simulating the model helps the managers of logistics function decide the size of investment in technology, to achieve ecological efficiency without compromising with the economic performance.

Collaboration with regulatory authorities and with players within the same industry and across industries is a must so that eco-logistics does not become an economic burden for businesses. The decision to invest in technology for eco-logistics is further accentuated if the technology promises some added economic benefits.

From a theoretical perspective, the research has added to the less extensive literature on system dynamics modelling, which is a mixed methodology, combining both qualitative and quantitative techniques. The research is also one of the few attempts that have attempted to simultaneously study more than one aspects of sustainability in business, quantitatively through simulation. Simulation was demonstrated through a single case study, Future works can aim to apply the causal loop diagram to firms in varied sectors.

The managers can use the causal loop diagram to assess the environmental performance of logistics and decide on appropriate level of investment to balance ecological and economic performance of logistics.

The causal loop diagram has been developed through primary data collection via semi-structured interviews. The results were validated by presenting them to respondents to ensure they represent their view points. The results are, therefore, practical and original. This research does not build upon an existing data set or aims to test the applicability of any existing model. The model for this research has been developed from the grass-roots level.

Start-ups, entrepreneurship, innovation and innovative practices, risks, uncertainties, differentiation, internationalization, competition, business models, operationalizing and implementing strategy.

The case is suitable for MBA students.

Vinay moved to the capital city of a Northern Indian state, which also happened to be a commercial hub, after his family business failed. The family succumbed to living in a room without electricity and doors. Vinay had dreamt of establishing his own business empire by being a successful entrepreneur. Steered by this intent, he established a pharmaceutical company with the name of Ayuvayur Pharmaceuticals. The challenge was to establish an innovative Ayurveda-based pharmaceutical products-based firm and to build a leading business empire with a customer focus. Progress was not smooth and the challenges ahead multiplied. Despite his ability to cope with barriers, risks and uncertainties, Vinay and his business, was challenged to grow globally and emerge from its nascent structure. How should the business expand?

Students can discover the following key learning points: how an enterprise is born; the importance of entrepreneurial recognition and orientation; the lead characteristics of an entrepreneur; how a start-up is born despite the unfamiliarity of the entrepreneur with the field he enters; the role of innovation in a small enterprise; and the risks, barriers, uncertainties and challenges associated with entrepreneurial activity.

Teaching notes are available for educators only. Please contact your library to gain login details or email support@emeraldinsight.com to request teaching notes.