Showing papers by "Indian Institute of Management Ahmedabad published in 2021"
TL;DR: The study critically discussed prominent themes in the light of the existing arguments from the literature and reflects on implications for the decision makers.
335 citations
TL;DR: In this paper, the authors compared the two widely used methods of Structural Equation Modeling (SEM): covariance based CB-SEM and Partial Least Squares based SEM.
313 citations
TL;DR: In this paper, the authors identify a few potential drivers of blockchain technology adoption, considering the grape wine supply chain and employing a rating-based conjoint analysis, and find that dis-intermediation, traceability, price, trust, compliance, and coordination and control in order of their relative importance and utilities can influence the supply chain actors' adoption-intention decision processes.
189 citations
TL;DR: In this paper, the authors explore the evolution of marketing 4.0 and empirically examine its impact on customer satisfaction and purchase intention, finding that brand identity and brand image are significant factors in determining customer satisfaction, and the impact of customer satisfaction on purchase intention is highly significant.
140 citations
TL;DR: In this article, the authors provide a deep discussion of and look ahead on how technology is changing retail, starting with a classification of technologies that impact retailing, in particular in the COVID-19 and beyond world.
125 citations
TL;DR: This study provides a causal relationship model among the intertwined drivers of industry 4.0 and circular economy for developing a smart healthcare waste disposal system enriched with the benefits of circular economy.
117 citations
TL;DR: In this paper, the authors used ANNs to predict foreign tourists' arrival in India and foreign exchange earnings (FEE) using four scenarios considering with and without lockdown in terms of loss and gain in FEE.
Abstract: The novel coronavirus (COVID-19), which is one of its kind of humanitarian disasters, has affected people and businesses worldwide, triggering a global economic crisis. In this aspect, the tourism sector is not being left behind. The pandemic has not only affected the foreign exchange earnings (FEE) but also affected various regional developments, job opportunities, thereby disrupting the local communities as a whole. As there has been a substantial decline in the arrivals of overseas tourists in India in 2020, the paper aims to predict foreign tourists’ arrival in India and FEE using artificial neural networks (ANN). Furthermore, we analyse the impact of COVID-19 based on four scenarios considering with and without lockdown in terms of loss and gain in FEE. Lastly, the results obtained will help policymakers make necessary strategic and operational decisions, along with maximizing the FEE.
100 citations
TL;DR: In this article, the authors investigated the effect of online convenience dimensions on mobile banking adoption intention using a comprehensive moderated mediation framework and found that access convenience, transaction convenience, benefit convenience, and post-benefit convenience have a crucial impact on m-banking adoption intention.
92 citations
TL;DR: In this article, the authors extended the innovation resistance theory by including two behavioral measures (privacy concerns and visibility) and examined how security concerns moderate the associations between them, finding that security concerns significantly moderated the association between image barrier and MPS adoption postponement in the hospitality sector.
89 citations
TL;DR: In this paper, the authors explore the human resource management practices adopted by hotels during COVID-19 and examine the impact of COVID19 on the wellbeing of hotel employees using qualitative thematic analysis.
86 citations
TL;DR: In this paper, the authors leverage organizational learning theory and the literature on rare events to propose that governance structure, investment in healthcare infrastructure, and learning from past pandemics influence a country's response regarding reactive and proactive strategies.
TL;DR: A multi stage hybrid model for integrated supplier segmentation, selection and order allocation considering risks and disruptions is proposed as to optimize multi-period, multi item order allocation to suppliers in such a way that overall cost and risk of disruption is simultaneously minimized.
TL;DR: In this paper, the authors examined the antecedents of FDA users' food ordering behavior during the COVID-19 pandemic that can lead to food waste and found that hygiene consciousness impacts the enablers and barriers to FDA usage, which, in turn, shape the attitude toward FDAs and the tendency to order more food than required.
01 May 2021
TL;DR: In this article, the authors present a review of literature related to last-mile logistics and supply chain disruptions to identify the limitations of existing last mile delivery practices during COVID-19.
Abstract: Supply chains in general and last-mile logistics in particular, have been disrupted due to COVID-19. Though several innovative last-mile logistics solutions have been proposed in the past, they possess certain limitations, especially during COVID-19 motivating the need for an alternative last-mile logistics solution. We present a review of literature related to last-mile logistics and supply chain disruptions to identify the limitations of existing last-mile delivery practices during COVID-19. Using a stylized analytical model, we then propose that “mobile warehouse” can be an effective solution to last-mile logistics issues faced during COVID-19 and beyond under certain conditions. A mobile warehouse is a truck dedicated to a particular geographical location and carries the inventory of various products based on the estimated demand requirements for these products in that geographical location. We provide the condition under which the B2C e-commerce providers find it profitable to adopt a truck as a mobile warehouse to sell high demand items quickly.
TL;DR: Regulations and threat to privacy & security are the most critical barriers to implement drones in logistics sector, while public perception & psychological, environmental, technical issues, and economic aspects are the other identified critical barriers.
Abstract: Companies are adopting innovative methods for responsiveness and efficiency in the logistics sector The implementation of drones in logistics sector is a move in this direction Potential obstacle
TL;DR: This work studies three such omnichannel configurations and shows that depending on whether a premium product is highly personalized or standardized, opening an additional showroom or a B&M store becomes optimal for the retailer.
TL;DR: Regression analysis reveals that article attributes such as article order, methodology, presence of authors from Europe, number of references, number-of- keywords, and abstract length have a significant association with the citations.
TL;DR: In this article, the authors examined the antecedents of brand love for both the local food distribution system and local food it distributes and employed the stimuliorganism-response (SOR) theory, which indicates that certain environmental stimuli influence the consumers' internal state or organism and shapes their behavior, in turn Specifically, they used altruism as the stimulus, supporting local producers, transparency, satisfaction with labeling, and desire for labeling as the consumers internal state (organism), and purchase intentions and brand love as the response Cross-sectional data were collected from 2045 local food
Sharda University1, United Arab Emirates University2, Maharshi Dayanand University3, Lovely Professional University4, University of Newcastle5, International Medical University6, Gyanvihar University7, Chaudhary Charan Singh University8, University of Delhi9, Indian Institute of Management Ahmedabad10, Amity University11, Aalto University12, Sanjay Gandhi Post Graduate Institute of Medical Sciences13, University of Technology, Sydney14
TL;DR: In this paper, a comprehensive review of the coronavirus disease 2019 (COVID-19) pandemic is presented, which provides valuable insights and facilitates the work of neuroscientists in unfolding different neurological dimensions of COVID-2019 and other CoV associated abnormalities.
Abstract: The coronavirus disease 2019 (COVID-19) pandemic is an issue of global significance that has taken the lives of many across the world Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is the virus responsible for its pathogenesis The pulmonary manifestations of COVID-19 have been well described in the literature Initially, it was thought to be limited to the respiratory system; however, we now recognize that COVID-19 also affects several other organs, including the nervous system Two similar human coronaviruses (CoV) that cause severe acute respiratory syndrome (SARS-CoV-1) and Middle East respiratory syndrome (MERS-CoV) are also known to cause disease in the nervous system The neurological manifestations of SARS-CoV-2 infection are growing rapidly, as evidenced by several reports There are several mechanisms responsible for such manifestations in the nervous system For instance, post-infectious immune-mediated processes, direct virus infection of the central nervous system (CNS), and virus-induced hyperinflammatory and hypercoagulable states are commonly involved Guillain-Barre syndrome (GBS) and its variants, dysfunction of taste and smell, and muscle injury are numerous examples of COVID-19 PNS (peripheral nervous system) disease Likewise, hemorrhagic and ischemic stroke, encephalitis, meningitis, encephalopathy acute disseminated encephalomyelitis, endothelialitis, and venous sinus thrombosis are some instances of COVID-19 CNS disease Due to multifactorial and complicated pathogenic mechanisms, COVID-19 poses a large-scale threat to the whole nervous system A complete understanding of SARS-CoV-2 neurological impairments is still lacking, but our knowledge base is rapidly expanding Therefore, we anticipate that this comprehensive review will provide valuable insights and facilitate the work of neuroscientists in unfolding different neurological dimensions of COVID-19 and other CoV associated abnormalities
TL;DR: Results of this study reveal that price benefits and trust-in-service are major predictors of customer’s usage intention in OFD and OTA contexts.
TL;DR: In this article, the mediating effects of perceived hedonic value and perceived utilitarian value are moderated by online risk perceptions and the results indicated that perceived usefulness of online search, need for touch and socialization have significant impact on web-rooming intention.
TL;DR: In this article, the authors investigated the mediating role of attitude towards EVs and the moderation of financial incentives policy in the context of an emerging sustainable transportation market and found that attitude partially mediates the effects of usefulness and ease of use on the adoption intention, however no mediating effect of attitude has been found between risk and adoption intention.
TL;DR: It was found that consumers can perceive top e-retailers as similar or isolated brands, and it is suggested that all seven e-SQ attributes can create differentiation among leading e-Retailing brands.
TL;DR: In this article, the authors present a review of mobile advertising literature in terms of theories, contexts, characteristics, and methodology to analyse the development of mobile ad research over time, showing that mobile advertising has transitioned from text message-based SMS advertisements into internet-based smartphone advertising.
Abstract: The purpose of this research is to review the extant literature on mobile advertising systematically and to carry out a comprehensive analysis of research in this emerging field. Accordingly, this paper synthesises the literature on mobile advertising in terms of theories, contexts, characteristics and methodology to analyse the development of mobile advertising research over time. The literature review shows that mobile advertising research has transitioned from text message-based SMS advertisements into internet-based smartphone advertising. Furthermore, based on the synthesis, we have developed a conceptual framework that shows the antecedents, mediators and consequences of mobile advertising. Additionally, we have identified some overlooked areas and proposed some insightful research directions to advance this field of research. This review contributes to the mobile marketing literature, specifically to the mobile advertising literature.
TL;DR: In this paper, the authors analyze impact of lockdown and covid crisis on airlines in India and possible challenges ahead, and suggest the possible way-out for mitigating the expected losses.
Abstract: Coronavirus outbreak has been highly disruptive for aviation sector, threatening the survival and sustainability of airlines. Apart from massive losses attributed to suspended operations, industry foresee a grim recession ahead. Restrictive movements, weak tourism, curtailed income, compressed commercial activities and fear psychosis are expected to compress the passenger demand from 30 to 60%, endangering the commercial viability of airlines operation. Fragile to withstand the cyclic momentary shocks of oil price fluctuation, demand flux, declining currency, airlines in India warrants for robust structural changes in their operating strategies, business model, revenue and pricing strategies to survive the long-lasting consequences of Covid-19. Paper attempts to analyze impact of lockdown and covid crisis on airlines in India and possible challenges ahead. Study also suggests the possible way-out for mitigating the expected losses.
TL;DR: In this article, the authors developed and tested an overarching model of entrepreneurial intention that includes profit, social impact, and innovation as the three main drivers of entrepreneurial behavior, and developed a holistic model to identify separately the generic intention to be a self-employed entrepreneur from the associated intention to a specific type of entrepreneur.
TL;DR: A review of 2564 articles published in peer-reviewed academic journals from 1976 to December 2018 is performed and five research clusters are identified and proposed, indicating emerging research clusters and future research directions on SCRM.
Abstract: In the broad sphere of Operations Management, Supply Chain Risk Management (SCRM) is a significant area of interest for both academics and practitioners. As SCRM has transitioned from an emerging t...
TL;DR: In this paper, the authors have used high-resolution Landsat and Google Earth data and integrated it with spatial statistical analysis to quantify the cooling effects provided by urban green spaces beyond their boundaries.
TL;DR: In this paper, the authors conduct a mixed-method study to identify the constituents of responsible AI in the healthcare sector and investigate its role in value formation and market performance in India.
Abstract: The Healthcare sector has been at the forefront of the adoption of artificial intelligence (AI) technologies. Owing to the nature of the services and the vulnerability of a large section of end-users, the topic of responsible AI has become the subject of widespread study and discussion. We conduct a mixed-method study to identify the constituents of responsible AI in the healthcare sector and investigate its role in value formation and market performance. The study context is India, where AI technologies are in the developing phase. The results from 12 in-depth interviews enrich the more nuanced understanding of how different facets of responsible AI guide healthcare firms in evidence-based medicine and improved patient centered care. PLS-SEM analysis of 290 survey responses validates the theoretical framework and establishes responsible AI as a third-order factor. The 174 dyadic data findings also confirm the mediation mechanism of the patient’s cognitive engagement with responsible AI-solutions and perceived value, which leads to market performance.
TL;DR: In this article, the authors examined the association of fake news and purchasing behavior towards natural personal care products, utilising Stimulus-Organism-Behaviour-Consequence (SOBC) as the theoretical framework.