Impulse purchases during emergency situations: exploring permission marketing and the role of blockchain

Purpose>The paper explores how consumer behavior for purchasing impulse products changed in the complex and disruptive (emergency) situation of the COVID-19 pandemic when the customer is shopping in-home and not visiting the offline stores in an emerging economy context. This paper further explores how digital transformations like the use of blockchain technology can aid offline/omnichannel retailers in reviving sales via permission marketing for impulse products.Design/methodology/approach>The authors followed a qualitative research design and conducted 24 personal interviews with millennials and 15 interviews with offline/omnichannel retailers from an emerging economy. The data collected were analyzed using the thematic analysis procedure.Findings>The authors discuss their findings under three themes – customers' conscious impulse buying during the pandemic, customers' unconscious impulse buying during the pandemic, and a viable solution for retailers in response to the pandemic.Practical implications>The authors suggest that marketers primarily from an offline/omnichannel store should adapt to permission marketing and use technologies like blockchain for the digital transformation of their marketing strategies. Doing so can help offline retailers minimize future damages in the retail sector during emergency situations.Originality/value>This paper is one of the first that explores how impulse – pure, suggestion, planned and reminder – purchases got affected during the COVID-19 pandemic disruptions in an emerging economy. This paper is also one of the first to explore the role of permission marketing and digital transformation by the use of blockchain in helping offline retailers in forming swift trust and practice trust-based marketing.

Investigating the revised international marketing strategies during COVID-19 based on resources and capabilities of the firms: A mixed method approach.

This paper aims to identify the revised international marketing strategies in communication during the COVID-19 pandemic by utilizing the firm's resources and capabilities. We conducted in-depth interviews and a questionnaire survey with key stakeholders of retail organizations which changed their digital marketing strategies during COVID-19. The data is collected from 587 respondents from different parts of the world through resource orchestration theory. The qualitative findings support a high degree of association among the firm's resources and capabilities, leveraging processes based on the revised international marketing strategies during the COVID-19 pandemic. We have developed a conceptual model based on these findings with six variables: leveraging process of the firm's capabilities information technology-related resources; information technology-related capabilities, dynamic capabilities, environmental uncertainty, and leveraging process of the firm's resources. However, environmental uncertainty and leveraging of the firm's resources were not influential in forming digital marketing strategies during COVID-19. This study proposes a new process for international marketing managers in business organizations to restructure the resources within their organizations by creating new capabilities and leveraging them.

Unnao Tanneries Limited: Post COVID Business Strategy

Unnao Tanneries Limited (UTL), formerly known as Monir Leather Works, was set up in the 1980s and has been a family-owned business for over four decades. The primary activity of UTL in the initial years was leather jackets and purses. It sold its products under the brand name Brown Cliff. It shifted its manufacturing units from Kanpur to the nearby town of Unnao to cut costs and increase capacity in 1990. It later expanded its product range to primarily include leather footwear, targeting the menswear market. It became one of the top players in the northern part of the country with a proper business strategy. The footwear segment was growing rapidly and profitably for UTL. The business was smooth for almost four decades with minor hiccups until the government imposed a ban on its functioning due to a sparse wastewater disposal system in May 2019. The initial ban was prolonged further due to the COVID- I 9 pandemic in the country in March 2020. As a result., UTL suffered a significant loss in sales and clients. Reviving demand for the products after the easing of partial lockdown in the country was a daunting task. UTL became a contractual manufacturer for CONTE to utilize its idle resources and reduce its financial burden. Later, UTL got an offer from Batla Leather Products Limited (BLPL) to become its contract manufacturer. BLPL was one of the top players in the national and international market and it was looked for facilities to quickly scale up its operations. This case allows the readers to put themselves in Mr Sadiq Monir's shoes and analyse an unforeseen business situation. The choice between short-term profits and sustainability versus long-term growth of the family brand Brown Cliff had to be made. The case gives several macro and micro factors supporting the choices and the decision to be made. The decision dilemma has two facets-to gain expertise in improving operations and to have a steady flow of income for the next 2-3 years versus risking the loss of independence and dilution of the family brand Brown Cliff.

Conceptualizing the role of blockchain in omnichannel healthcare: a Delphi study

Purpose>This study aims to identify the challenges in the healthcare industry as it adopts an omnichannel setup in an emerging economy context. Further, the study determines the scope of blockchain in addressing these challenges.Design/methodology/approach>The study uses a qualitative approach to understand the challenges in the omnichannel healthcare industry and know the scope of blockchain in building an omnichannel healthcare system. In the first stage, it did an in-depth analysis of the extant literature, followed by a Delphi study with 24 healthcare experts.Findings>The study presents the current challenges in the omnichannel healthcare sector in an emerging economy. Further, it develops a novel conceptual framework for blockchain adoption in the omnichannel healthcare industry. The study also presents propositions that will help healthcare service providers enhance decision-making concerning the adoption of blockchain in the healthcare industry.Research limitations/implications>The research results may lack generalizability due to the exploratory approach and emerging economies context. Theoretically, in this study, the authors extend the theory of swift trust and organization information processing theory in an omnichannel healthcare context.Practical implications>The propositions provided in this paper can help healthcare managers make strategic decisions on the scope of adoption of blockchain for omnichannel healthcare.Originality/value>This study explores the understudied area of challenges in omnichannel healthcare and the scope of blockchain for omnichannel healthcare in an emerging economy context.

Purchase Behavior of Generation Z for New-Brand Beauty Products: Exploring the Role of Blockchain

Consumers get innumerable product options, making it crucial to study their selection among brands v/s new brands. The study explores how in a post covid world, the online purchase behavior of Generation Z female consumers is impacted for new-brand beauty products. Using qualitative methods, the authors explored the online purchase behavior of Generation Z females for the purchase of beauty products in emerging economies and how blockchain technology (BCT) can play a crucial role in influencing consumer decision-making. Five focus group discussions were conducted. The study’s findings reveal four key themes – “It's too hard to be an innovator,” “Online stigma,” “New brand reservations,” and “BCT and new brands purchase decisions.” The authors portray that generation Z consumers don’t feel competent enough to buy new brands online without extrinsic motivation. They do not entirely trust the information marketers provide them in the current form. They are expected to buy new brands online if the authenticity of the complete product details can be verified using blockchain mechanisms.

COVID-19 Fake News Detection System

This article deals with the problem of the rapidly increasing COVID-19 infodemic in the world. Thus, there is a need for an effective framework of detecting fake information or misleading news related to COVID-19 virus/disease. To resolve this, we have used a dataset obtained from ConstraintAI'21. The dataset consists of 10,700 tweets and online posts of fake and real news concerning COVID-19. Machine Learning (ML) algorithms compared in this paper to classify the given news or tweet into real or fake are Logistic Regression (LR), K-Nearest Neighbor (KNN), Linear Support Vector Machine (LSVM), Random Forest Classifier (RFC), Decision Tree (DT), Naive Bayes (NB) and Stochastic Gradient Descent (SGD) algorithm. Two feature extraction techniques were used count vectorization and TF-IDF. Deep Learning (DL) algorithms implemented using Adam optimizer are Recurrent Neural Network (RNN), Long Short-Term Memory (LSTM), and Gated Recurrent Unit (GRU). The best testing accuracy was achieved with the LSVM model using TF-IDF feature extraction method followed by Stochastic Gradient Descent classifier with TF-IDF feature extraction technique. LR, DT, and RFC performed better with the Count vectorization feature extraction technique, whereas LSVM, KNN, NB and SGD had better accuracy with TF-IDF feature extraction technique. The LSTM model performed slightly better among the DL algorithms. © 2022 IEEE.

Outcomes of COVID-19 Complications and their Possibilities as Potential Triggers of Stroke.

INTRODUCTION: There is limited literature on coronavirus disease 2019 (COVID -19) complications such as thromboembolism, cardiac complications etc. as possible trigger for stroke. Hence, we aim to evaluate the prevalence and outcomes of COVID-19 related cardiovascular complications and secondary infection and their possibility as potential triggers for the stroke. METHODS: Data from observational studies describing the complications [acute cardiac injury (ACI), cardiac arrhythmias (CA), disseminated intravascular coagulation (DIC), septic shock, secondary infection] and outcomes of COVID-19 hospitalized patients from December 1, 2019 to June 30, 2020, were extracted following PRISMA guidelines. Adverse outcomes defined as intensive care units, oxygen saturation less than 90%, invasive mechanical ventilation, severe disease, and in-hospital mortality. The odds ratio and 95% confidence interval were obtained, and forest plots were created using random-effects models. A short review of these complications as triggers of stroke was conducted. RESULTS: 16 studies with 3480 confirmed COVID-19 patients, prevalence of ACI [38%vs5.9%], CA [26%vs5.3%], DIC [4%vs0.74%], septic shock [18%vs0.36%], and infection [30%vs12.5%] was higher among patients with poor outcomes. In meta-analysis, ACI [aOR:9.93(95%CI:3.95-25.00], CA [7.52(3.29-17.18)], DIC [7.36(1.24-43.73)], septic shock [30.12(7.56-120.10)], and infection [10.41(4.47-24.27)] had higher odds of adverse outcomes. Patients hospitalized with acute ischemic stroke and intracerebral hemorrhage, had complications like pulmonary embolism, venous thromboembolism, DIC, etc. and had poor outcomes CONCLUSION: The complications like acute cardiac injury, cardiac arrhythmias, DIC, septic shock, and secondary infection had poor outcomes. Patients with stroke were having history of these complications. Long term monitoring is required in such patients to prevent stroke and mitigate adverse outcomes.

Diarrhea Is Associated with Increased Severity of Disease in COVID-19: Systemic Review and Metaanalysis.

COVID-19 has become a pandemic since its emergence in Wuhan, China. The disease process was initially defined by presence of respiratory symptoms; however, it is now well studied and shown in evidence that this is a multisystem process. Involvement of gastrointestinal (GI) system has been identified, and GI symptoms can be the only presenting symptoms in some patients. Hence, it is important to identify and understand the GI symptoms associated with COVID-19 for appropriate care of patient. We conducted a systematic review and metaanalysis to identify the GI symptoms of COVID-19 and identify association of diarrhea with severity of COVID-19. We performed extensive search of Medline and Embase from December 2019 to May 2020 to identify articles reporting GI symptoms in COVID-19 patients. The primary outcome was prevalence of GI symptoms in COVID-19 patients, and secondary outcome was the association of diarrhea with disease severity. A total of 38 studies with 8407 patients were included. Of the total patients, 15.47% patients had at least one GI symptom. The pooled prevalence of nausea/vomiting was 7.53% and diarrhea was 11.52%. On metaanalysis, patients with diarrhea as one of the presenting symptoms were more likely to have severe disease (OR 1.63, 95% CI: 1.11-3.38, p = 0.01). Our systematic review and metaanalysis demonstrated that GI symptoms are common in COVID-19. Presence of diarrhea as a presenting symptom is associated with increased disease severity and likely worse prognosis. Early recognition of patients is needed for prompt management of this at-risk population. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s42399-020-00662-w.

Age-Adjusted Risk Factors Associated with Mortality and Mechanical Ventilation Utilization Amongst COVID-19 Hospitalizations-a Systematic Review and Meta-Analysis.

The increasing COVID-19 cases in the USA have led to overburdening of healthcare in regard to invasive mechanical ventilation (IMV) utilization as well as mortality. We aim to identify risk factors associated with poor outcomes (IMV and mortality) of COVID-19 hospitalized patients. A meta-analysis of observational studies with epidemiological characteristics of COVID-19 in PubMed, Web of Science, Scopus, and medRxiv from December 1, 2019 to May 31, 2020 following MOOSE guidelines was conducted. Twenty-nine full-text studies detailing epidemiological characteristics, symptoms, comorbidities, complications, and outcomes were included. Meta-regression was performed to evaluate effects of comorbidities, and complications on outcomes using a random-effects model. The pooled correlation coefficient (r), 95% CI, and OR were calculated. Of 29 studies (12,258 confirmed cases), 17 reported IMV and 21 reported deaths. The pooled prevalence of IMV was 23.3% (95% CI: 17.1-30.9%), and mortality was 13% (9.3-18%). The age-adjusted meta-regression models showed significant association of mortality with male (r: 0.14; OR: 1.15; 95% CI: 1.07-1.23; I 2: 95.2%), comorbidities including pre-existing cerebrovascular disease (r: 0.35; 1.42 (1.14-1.77); I 2: 96.1%), and chronic liver disease (r: 0.08; 1.08 (1.01-1.17); I 2: 96.23%), complications like septic shock (r: 0.099; 1.10 (1.02-1.2); I 2: 78.12%) and ARDS (r: 0.04; 1.04 (1.02-1.06); I 2: 90.3%), ICU admissions (r: 0.03; 1.03 (1.03-1.05); I 2: 95.21%), and IMV utilization (r: 0.05; 1.05 (1.03-1.07); I 2: 89.80%). Similarly, male (r: 0.08; 1.08 (1.02-1.15); I 2: 95%), comorbidities like pre-existing cerebrovascular disease (r: 0.29; 1.34 (1.09-1.63); I 2:93.4%), and cardiovascular disease (r: 0.28; 1.32 (1.1-1.58); I 2: 89.7%) had higher odds of IMV utilization. COVID-19 patients with comorbidities including cardiovascular disease, cerebrovascular disease, and chronic liver disease had poor outcomes. Diabetes and hypertension had higher prevalence but no association with mortality and IMV. Our study results will be helpful in right allocation of resources towards patients who need them the most.

Pre-existing cerebrovascular disease and poor outcomes of COVID-19 hospitalized patients: a meta-analysis.

BACKGROUND: Due to pro-inflammatory and hypercoagulation states, COVID-19 infection is believed to increase the risk of stroke and worsen the outcomes of the patients having pre-existing cerebrovascular diseases (CeVD). There is limited literature on prevalence of pre-existing CeVD in COVID-19 patients, and outcomes are unknown. The objective of this meta-analysis is to evaluate the outcomes of COVID-19 patients with pre-existing CeVD. METHODS: English full-text-observational studies having data on epidemiological characteristics of COVID-19 patients were identified searching PubMed, Web of Science, and Scopus using MeSH-terms COVID-19 OR coronavirus OR SARS-CoV-2 OR 2019-nCoV from December 1, 2019 to April 30, 2020. Studies having CeVD or stroke as one of the pre-existing comorbidities and described outcomes including intensive care unit (ICU) admission, mechanical ventilation utilization, and mortality were selected with consensus of three reviewers. Following MOOSE protocol, 11 studies were included. The pooled prevalence of CeVD and outcomes were calculated. Meta-regression was performed, and correlation coefficient (r) and odds ratio (OR) were estimated to evaluate the effects of pre-existing CeVD on outcomes of COVID-19 patients. Meta-analysis with random-effects model was used to calculate OR along with its 95% CI from the studies containing data on composite poor outcome. RESULTS: Out of 8/11 studies showing data on mortality and mechanical ventilation, and 7/11 on ICU admission, pooled prevalence of pre-existing CeVD was 4.4% (244/4987). In age-adjusted meta-regression analysis, pre-existing CeVD was associated with ICU admission [r: 0.60; OR: 1.82 (1.25-2.69)], mechanical ventilation [r: 0.29; OR: 1.33 (1.09-1.63)], and mortality [r: 0.35; OR: 1.42 (1.14-1.77)] amongst COVID-19 hospitalizations. 9/11 studies reported data on binary composite outcomes, the pooled prevalence of pre-existing CeVD was 4.3% (155/3603) and 7.46% (83/1113) amongst COVID-19 hospitalizations and COVID-19 hospitalization-related poor outcomes, respectively. In meta-analysis, COVID-19 patient with pre-existing CeVD had 2.67-fold (1.75-4.06) higher odds of poor outcomes. CONCLUSION: COVID-19 patients with pre-existing cerebrovascular disease have poor outcomes and extra precautions should be taken in managing such patients during the ongoing pandemic.