Social media is a powerful medium for brands to engage with their consumers, especially during a public health crisis (PHC) when consumers are under duress. However, the impact of social media brand messages on consumer responses during a PHC is under-researched. Accordingly, this paper examines the brand message appeals that enhance online consumer response during a recent PHC in form of the COVID-19 pandemic. Four message appeals – emotional, rational, moral, and no-crisis – are proposed. The online consumer response to the messages with those appeals is measured by likes and shares. The variation of the effect across brands that sell essential and non-essential products/services are also examined. Following an exploratory study that examines 100 brand tweets to confirm the presence of the proposed message appeals, a total of 26,362 brand tweets on Twitter are collected and empirically analysed. © 2022 Elsevier Inc.

Shared leadership among school principals and teachers has been touted as a means to enhance student achievement. Using grounded theory, we interviewed six principals and 20 urban elementary school teachers, in Pennsylvania, to examine their perceptions about federal and state mandates on shared leadership. Results indicate that although teachers desire to participate in shared leadership the pressures they encounter regarding state testing mandates, their expressed aversion to this accountability, and their lack of autonomy affected their capacity to participate in shared leadership. Principals viewed improving standardized test scores as best for students, but many teachers do not. Teachers believe they should make instructional decisions regarding students, but feel they cannot due to the mandates around standardized testing. Understanding the perceptions of principals and teachers regarding the impact of federal and state mandates on sharing the leadership role and the connection between accountability, shared leadership, and students’ best interest may assist policymakers and practitioners in the field to make decisions more attuned to the concerns of stakeholders, and thus are potentially more likely to succeed. © 2020 Informa UK Limited, trading as Taylor & Francis Group.

Infrastructure and construction projects majorly contribute to the national economy of developing nations. Development strategies in such up bound moves in the construction industry need to align with the housing system improvements models. Joint Procurement (JP) of resources and services result in sharing of resources, costs and energy requirements. This perspective paper aims to figure out critical parameters of JP for the medium level construction businesses in India and reveals that such an approach would seriously consider economic growth, sustainable quality life, and increasing per capita income. Bridging the knowledge gap between disperse stakeholders through JP methods would give rise to a new construction approach when support and cooperation between all the stakeholders exist. The JP model's adoption gives further initiatives to minimize the detrimental impacts of construction on the environment and society, besides developing sustainability outlook and performance within the community. IEEE

India has committed itself to a greener and cleaner future by opting for the latest technological revolution in the world of Automotives – Electric Vehicles (EVs). However, the contribution of any technology to economic growth and environmental development is highly correlated with its extent of diffusion and adoption. While much has already been written about the EV ecosystem in the country and the electric market from a consumer standpoint, this paper analyses the supply-side challenges and opportunities in adapting to the electric mobility mission in India as perceived by the firms, especially the Micro, Small and Medium Enterprises (MSMEs). Using PLS-SEM method on data collected from these firms in the Indian automotive industry, this study finds that major factors that the firms feel are significant in adapting to the current disruption are financial, technological and regulatory in nature. The factors aiding the transition are the state and central policies while inputs and trade related factors are impediments due to excessive dependence on imports for raw materials, components and final goods. The paper has further employed the lens of value chain analysis to understand the dispersion of these across the various segments of the EV value chain. © 2023 World Conference on Transport Research Society

To prevent the pandemic spread of human-to-human transmitted diseases such as COVID-19, governments commonly resort to countrywide or regional lockdown strategies. Such lockdowns, whenever and wherever implemented, curtail the movement of persons and vehicles, and drastically alter traffic conditions. This study focuses on the effect of drastic and sudden changes in the traffic conditions, during the COVID-19 lockdown in the State of Maharashtra in India, in March–June 2020, on the numbers of motor vehicle accidents (MVAs), and the resultant fatalities and injuries. Content analysis of police-reported first information reports (FIRs) of MVAs is performed, and these lockdown trends are compared with archival data from corresponding previous (normal) periods. The statistical analysis shows that, during the lockdown, while the total number of MVAs fall drastically, they are more severe and have a much higher fatality rate per MVA. Also, the pattern of vehicles involved in MVAs, and resultant pattern of fatalities, also changes during lockdowns. The paper explores the reasons for these changed patterns and provides suggestions to reduce these negative externalities of pandemic related lockdowns. © National Academy of Sciences: Transportation Research Board 2021.

Border disputes, conflicts, and war have long existed and have evidenced impacts on financial markets. However, the extant literature needs to be revisited in light of existing contributions and underlying gaps to provide further insights into future research agendas. We conducted a bibliometric analysis of 215 articles published in high-quality journals to show the publication and citation trends in the war literature concentrated on financial markets. Concomitantly, while highlighting the most influential articles, contemporary themes, and the intellectual structure of the war literature on financial markets, we show the top contributing journals with the most prolific authors and their affiliated countries. Extant literature sheds light on how border disputes, conflicts, and war, while impacting macroeconomic variables, have impacted returns, volatility, and stability of the global financial markets. We provide eight clusters defining the concentration of the available literature and six broader areas directing future research. © 2023 The Authors

Purpose: The advent of robotics and automation technologies was augmenting firm initiatives to attain competitive advantage. From a resource-based view perspective, human-led capabilities were important to operate with technology resource base of an organisation. This was evident for both manufacturing as well as services firms. However, employees as an individual confronted technology anxiety (TA) when they were working with new technologies like robotics and automation technologies. Thus, the purpose of this paper was to examine the factors causing TA. Design/methodology/approach: Given the novelty of this research study context a qualitative exploratory method was designed. For this research study, the data collected was through in-depth interviews conducted through open-ended semi-structured questionnaire. The data was collected from 62 frontline employees who were working with robotics and automation-based technologies in manufacturing firms. The authors applied thematic content analysis on collected data for analysis. Findings: Technology anxieties ranged from fear of complete inability to learn new technologies, failure to learn new technologies properly, incapability to implement the learned skills and job loss to younger technology savvy employees. Finally, there was anxiety over job loss as automation and robotic technologies over the years was expected to erode the employment of human workforce altogether. Research limitations/implications: The author undertook the research study based upon the TA perspective advocated by Meuter et al. (2003) and Yang and Forney (2013). Furthermore, this research study in the context of robotics and automation-based technologies in the manufacturing sector applied the mental accounting theory (Thaler, 1999) and technology self-efficacy perspective (Huffman et al., 2013). Practical implications: Managers involved in the implementation of robotics and automation-based technologies were required to address TA of employees. Fear of job loss had to be addressed specially in a country like India. Anxiety regarding the ability to learn to work with robotics and automation technologies also was needed to be addressed by managers through adequate training and time for preparation. The benefits of robotics and automation-based technologies for employees as well as organisations have to be ascertained through open communication between the management and the frontline employees. Originality/value: To the best of the authors’ knowledge, this was one of the first empirical research studies which deliberated regarding TA in the context of frontline workers working with robotics and automation-based technologies in the manufacturing sector. This research study was based upon a combination of varied perspectives ranging from micro foundations theory, TA, mental accounting theory and technology self-efficacy perspective. © 2023, Emerald Publishing Limited.

This study identifies the critical challenges for blockchain adoption in government, and more specifically in the delivery of public services in the state governments of India. A literature review and focus-group with stakeholders was conducted to identify critical cfhallenges. Each challenge was ranked based on the opinions of stakeholders using conjoint analysis. Regarding government adoption of Blockchain, this study points to ecological shifts as a more significant challenge than technology. This study provides theoretical implications for researchers and valuable insights for practitioners. © 2023 The Author(s). Published with license by Taylor & Francis Group, LLC.

This interpretive study derives a conceptual framework explaining how Indian women experience a loss of self through the transformational event of marriage. The self-discrepancy of losing one’s self motivates these women to renegotiate their sense of self through consumption. Data were collected through 76 in-depth interviews analyzed by a constant comparative method and grounded theory. Our research question is to what degree and in what ways do women in India experience a loss of self upon marriage and, if they do, through what consumer practices (if any) do they attempt to compensate for this feeling of loss? Analysis revealed three common stages in Indian women’s married life (1) marriage as a life transitional event inducing liminality (2) loss of Self: dissonance (3) compensatory consumption as a response to dissonance. Our research contributes to life cycle theory by focusing on liminal transitions. We find that self is a possession that women can lose after marriage in India. Based on these findings we argue that understandings of identity and life cycle must be amended to consider self-discrepancy and coping processes. We develop a model of consumption that results from a perceived loss of self. This is all part of a process of self-identity reconstruction. We also expand psychological ownership theory to include ownership of self. © 2021 John Wiley & Sons Ltd.

The disruption in management education caused by COVID-19 was significant, creating a noteworthy impetus for new research. Given that COVID-19 has transitioned from pandemic to endemic, it is an opportune time to retrospect the contributions of related research to shape the future of management education. Using the SPAR-4-SLR protocol, a systematic literature review was conducted on management education research relating to COVID-19 published between 2020 and 2022. A total of 56 relevant articles were found in and retrieved from the Web of Science database and subsequently analyzed using descriptive and content analyses. The descriptive analysis revealed a steep increase in research on the impact of COVID-19 on management education over time, with most research appearing in The International Journal of Management Education. The contributions came from various countries, with the top five being the USA, the UK, Australia, India, and China. The content analysis showed that most research adopted empirical methodologies while self-determination theory emerged as the most popular theoretical lens for study. The related research revolved around five major themes—i.e., digital teaching and learning, collaboration and partnership, embracing uncertainty and building resilience, transformation and innovation, and developing an entrepreneurial mindset—and provided implications for management education in the new normal, wherein the priority is focused on enhancing education quality and preparing future business leaders for profound challenges in the new normal, thereby necessitating the development of innovative pedagogies and leadership competencies. © 2023 The Authors

Blockchain technology (BCT) adoption in banks can bring resilience and make banking operations sustainable in terms of security in times of increased risks and uncertainty. Along this line, this study aims to identify and model the critical success factors (CSFs) of blockchain technology adoption for sustainable and resilient banking operations. Seventeen CSFs were identified from the literature and semi-structured interviews. After that, 15 CSFs were confirmed through the fuzzy Delphi method, and cause-effect relationships were developed through the Decision-Making Trial and Evaluation Laboratory method. Findings of the study highlighted that ease of local and international legislation and regulation and user data privacy are the most significant CSFs of blockchain technology, and these demand a high level of attention from management and decision-makers to realise sustainability and resilience in the banking sector. The study will guide practitioners and policymakers in understanding the importance of CSFs and thereby help devise a strategy for successful blockchain technology adoption in the banking sector. © 2023, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.

Purpose: The purpose of this study was to investigate the online shopping intention of customers by watching artificial intelligence (AI)–based deepfake video advertisements using media richness (MR) theory and Information Manipulation Theory 2 (IMT2). Design/methodology/approach: A conceptual model was developed to understand customers' online shopping intention by watching deepfake videos. A quantitative survey was conducted among the 1,180 customers using a structured questionnaire to test the conceptual model, and data were analyzed with partial least squares structural equation modeling. Findings: The outcome of this research provides the antecedents of the online shopping intention of customers after watching AI-based deepfake videos. These antecedents are MR, information manipulation tactics, personalization and perceived trust. Perceived deception negatively influences customers' online shopping intention, and cognitive load has no effect. It also elucidates the manipulation tactics used by the managers to develop AI-based deepfake videos. Practical implications: The distinctive model that emerged is insightful for senior executives and managers in the e-commerce and retailing industry to understand the influence of AI-based deepfake videos. This provides the antecedents of online shopping intention due to deepfakes, which are helpful for designers, marketing managers and developers. Originality/value: The authors amalgamate the MR and IMT2 theory to understand the online shopping intention of the customers after watching AI-based deepfake videos. This work is a pioneer in examining the effect of AI-based deepfakes on the online shopping intention of customers by providing a framework that is empirically validated. © 2022, Emerald Publishing Limited.

Financial fragility is of considerable concern for consumer well-being. Besides unleashing a public health crisis, COVID-19 also ignited a financial crisis and thus represents a natural event from the field to study financial well-being. We maintain that well-being is a corollary to one's financial situation. We investigate the linkage between financial fragility and well-being and the moderating role of financial literacy and personality using US data. We find that financial fragility is negatively associated with well-being. This pervasive phenomenon during a financial crisis has harmful consequences. We also find evidence of a differential impact of financial fragility on well-being based on Agreeableness, Conscientiousness, and Neuroticism, supporting our argument that personality has varying degrees of explanatory and predictive power in terms of well-being. Surprisingly, financial literacy does not modify this relationship, possibly due to the well-being affecting an individual's cognition and emotions rather than financial knowledge. Our findings could aid policy makers and financial educators in devising timely strategies to deal with post-crisis complications. © 2023 The Authors. Global Business and Organizational Excellence published by Wiley Periodicals LLC.

Social networking sites (SNS) have played an important role in engaging citizens to various policy discussions and debates about government, society and environment. Though SNS platforms empower citizens to express their opinion on important topics, several concerns have been raised by researchers for using SNS as discussion platform for important political, government and environmental policies. SNS platforms may be manipulated by the dominant group and citizen might also display group behaviour on these platforms while expressing their opinions of digital platforms. This study analyses political affiliations’ influence on opinion and content shared by various stakeholders on Twitter. The context of odd-even driving policy is undertaken using text mining and statistical research methods. This research suggests that political affiliation significantly affects type and characteristics of content shared by SNS users. This study will help policymakers and researchers in better understanding of citizens responses to environmental policies on SNS platforms. © 2023 John Wiley & Sons Ltd.

Effective crisis communication is essential to efficiently handle the uncertainty and anxiousness of citizens during the COVID-19 crisis. Government Twitter handles are an excellent platform for faster information dissemination and engaging citizens. While most government ministries actively use Twitter, limited attention is given to its modus operandi. Using data retrieved from the official Twitter handle of 'The Ministry of Health and Family Welfare' (MOHFW) of India, the current study examines the effect of the content characteristics, including content type and media type, on citizen engagement measured as tweet likes and retweets. The findings are based on 3742 tweets from MOHFW, recording more than 4.06 million likes and 1.23 million retweets over the initial six months of the largest COVID-19 vaccination drive. Results show that content-sharing guidance for stakeholders gained the maximum engagement, while the latest news about the COVID-19 crisis resulted in the least engagement. Photos gained maximum engagement, while statuses resulted in the least engagement. The results illuminate the textual features of the government's Twitter communication and will enable policymakers to manage their social media content strategy diligently. © 2023 John Wiley & Sons Ltd.

We tested an emotional labor (EL) model, in the form of surface acting and deep acting, as a mediator in the relationship between emotional intelligence (EI) and burnout as experienced by public school principals. A questionnaire survey of public-school principals in a Pennsylvania County was used to collect data. Data was analyzed using structural equation modeling (SEM). Surface acting was determined to be a partial mediator between EI and burnout. Results indicate a significant negative relationship between EI and surface acting, a significant positive relationship between surface acting and burnout, and a significant negative relationship between EI and burnout. The positive association found between surface acting and burnout emphasizes the importance of consonance of values held by the individual and the organization. © 2021 Taylor & Francis Group, LLC.

Purpose: The purpose of this study is to evaluate the efficiency of the relative performances of Mother’s canteen across the regions of Tamil Nadu and find out the determinants of inefficiencies in the scheme. Design/methodology/approach: An untargeted food security scheme called Amma (Mother's) canteen was started in Tamil Nadu, India, with an aim to provide the urban poor with hygienic and healthy food at an affordable price. Along with secondary data, interviews were conducted to understand the operational details of Mother's canteen. Data envelopment analysis (DEA) was used to find the relative efficiency of the scheme operated by nine corporations. Findings: Based on the daily expenditure, number of meals served and revenue, seven of nine corporations were found to be inefficient. Further, sensitivity analyses found that among six procurement variables, procurement (quantity and price) of black gram and cooking oil were determinants of inefficiency. Research limitations/implications: As an untargeted scheme, the cost of delivering service-based evaluation was used for performance evaluation. Policymakers could use centralized procurement instead of open market procurement at the corporation level and standardized ingredients' usage (quantity) to further reduce the cost of the food security scheme. Practical implications: The proposed DEA model may be used by policymakers to empirically evaluate the food security scheme's delivery effectiveness across various corporations in a region. Inefficient branches are identified here with empirical support for further performance improvement changes. Originality/value: There are limited number of studies evaluating untargeted schemes. This paper presents the challenges of evaluating an untargeted scheme which allows self-selection of beneficiaries. The outcome of this study will help in identifying inefficient corporations, and further, improve the performance and cost of delivering untargeted food security scheme. © 2022, Emerald Publishing Limited.

Purpose: The surging entrance of new mobile payment merchants into the growing market has prompted the need for an in-depth understanding of loyalty formation to retain customers. This study examines customers' loyalty generation process in mobile payment services by exploring the serial effect of cognitive drivers (i.e. brand awareness, perceived quality, brand image, perceived value and layout) on affective response, satisfaction and loyalty. Design/methodology/approach: A survey using self-administered questionnaires was conducted. The data was collected from 370 consumers who have experience using mobile payment services in Vietnam. The data were submitted to partial least square structural equation modeling (PLS-SEM) and artificial neural networks (ANN) analysis. Findings: The results indicated that all the proposed cognitive drivers show significant impacts on affective response, which, in turn, translates into satisfaction and loyalty. The post-hoc analysis revealed enjoyment as the vital affective response in determining satisfaction. Moreover, the multigroup analysis indicated that the relationship between affective response and satisfaction is stronger for the female group. In addition, the ANN's nonlinear result revealed complementary insight into the importance of cognitive drivers. Originality: The current study revealed both linear and nonlinear mechanisms that explicate the roles of cognitive drivers and affective responses in fostering loyalty toward mobile payment merchants. The findings add to the existing literature that emphasizes consumers' initial mobile payment adoption. © 2023, Emerald Publishing Limited.

The purpose of the innovation in evaluation techniques in IoT is to reduce the risks within the ever-changing IoT landscape and to improve the security of the IoT applications and systems. An important aspect to IoT security is compliance. The absence of compliance in the governments, industries, and other authorities augments the risk of security, in terms of exposure to lawsuits, fines, and penalties. However, it is observed that IoT security comprises of only one element of risk. The innovative IoT evaluation techniques are designed to be compliant with mandated compliance IoT framework, and are expected to reduce the security-related risks, and improve the posture of IoT security. The paper discusses the building of an evaluation system for the deployment of IoT that ensures the improvement of the posture of IoT security. The paper further discusses the tools for maintaining and managing the IoT evaluation framework. The evaluation techniques are designed to set up an IoT compliance schedule with innovative methods for continuous monitoring, addressing the issues of impacts to IoT to frequently utilized evaluation techniques, and making an analysis of the challenges posed by IoT devices for the introduction of the IoT techniques. The paper encourages to build, adapt, and tailor the IoT evaluation techniques, in accordance with the demands of the ever-changing IoT landscape. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

Purpose: Present research analyzes and evaluates the impact of e-resources usage factors (training modes, awareness, influencers, utilitarian benefits and ease of use) towards satisfaction and intention to use these e-resources. Design/methodology/approach: The data for present study were collected from postgraduate students of Delhi (India) and 248 valid responses were received through the survey. After reliability and validity tests, structural relationships between variables were studied. Findings: The present study revealed that all five factors significantly affected satisfaction and intention to use e-resources. However, influencers were found to have the highest impact on satisfaction and intention to use e-resources. Originality/value: The present study is a maiden attempt to explore the impact of e-resources usage factors on satisfaction and intention to use by postgraduate students at management schools in Delhi, India. © 2022, Emerald Publishing Limited.