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The purpose of this paper is to analyze the reliability of the washing system in a paper plant in a more promising way under vague environment by reducing the accumulating phenomenon of fuzziness and accelerating the computation process using the T_ω (weakest t-norm) based fuzzy lambda-tau (TBFLT) technique.

This paper presents a unified approach for analyzing the fuzzy reliability of the washing system under vague environment. This approach applies the TBFLT technique which uses triangular fuzzy numbers for incorporating data uncertainty, fault tree and lambda-tau method for finding system failure rate and repair time mathematical expressions while simplified T_ω-based arithmetic operations are applied for computing various reliability parameters of the system. The effectiveness of the TBFLT technique has been demonstrated by analyzing fuzzy reliability of the system using five different techniques including TBFLT. Moreover, this paper applies extended Tanaka’s (1983) approach to rank the critical components of the system.

The TBFLT technique has the advantage of low computation complexity in comparison to other techniques and effectively reduces the accumulating phenomenon of fuzziness. This main finding verifies the conclusion made by Chen (1994).

The author has suggested a simple and more applicable technique for analyzing the fuzzy reliability of any complex process industrial system under vague environment. The effectiveness of the technique has been demonstrated by computing various reliability parameters of the washing system of a paper plant.

Choice deferral (making no choice at all) is a common phenomenon, especially when individuals face a difficult decision. This is further exacerbated in the presence of negative incidental emotions which can have a wide-ranging influence on various aspects of decision-making. Previous research suggests that process (vs outcome) accountability might be more effective at mitigating the effect of irrelevant factors. This paper aims to examine whether accountability attenuates emotion effects on choice and examines the differences in the efficacy of the two accountability types.

The paper uses the appraisal tendency framework to propose differences between same valenced emotions on choice deferral and predicts the moderating role of process versus outcome accountability. Two experiments are conducted to test the predictions and the results analyzed using logistic regression.

The authors find that outcome and process accountability have different moderating effects on emotion and choice deferral relationship: under outcome accountability, angry individuals are more likely to defer choice while under process accountability, differences in choice across emotion conditions are attenuated. As predicted, differences between anger and fear on the certainty appraisal and thereby information processing, mediate the effects of emotion on choice deferral in the outcome (but not process) condition.

This research studies the intersection of two developing research streams, affect and accountability, by focusing on specific affective states (anger and fear) and specific accountability types (outcome and process) in the important context of decision avoidance in consumer behavior. Thus, theoretical understanding in both domains is advanced and the benefits of specific accountability types clarified. Key implications for consumers and future research directions are also discussed.

A growing literature shows that (integral) emotions arising in response to firm transgressions may influence consumer punishment. However, incidental emotions (which are unrelated to the decision at hand) can also be powerful drivers of consumer decision-making and could influence responses to firm transgressions. This paper aims to examine the role of incidental gratitude, as compared to incidental pride and a control condition, in shaping the acceptance of questionable consumer behavior toward a transgressing firm and the mediating role of self-righteousness in this regard.

Four experimental studies are conducted to examine the effect of gratitude, as compared to pride and a control condition, on the acceptance of questionable consumer behavior against a transgressing firm. Further, this research tests the underlying mechanism and a boundary condition of the predicted effect.

The results show that consumers experiencing gratitude, as compared to pride and a control condition, judge a questionable consumer behavior directed against a transgressing firm as less acceptable. These different emotion effects are found to be explained by self-righteousness. The findings also demonstrate that an apology by the firm attenuates the effect of emotions on consumer response toward the transgressing firm.

The present research contributes to the literature on consumer punishment by identifying the role of incidental emotions in determining self-righteousness and ethical judgments. The research focuses on and contrasts the effects of two specific positive emotions – gratitude and pride.

This paper offers managerial implications for firms involved in a transgression by highlighting the potential of gratitude. Notably, the findings of this research suggest that gratitude activation via marketing communications may help firms mitigate the negative effects of transgression events.

The present research provides a novel perspective on when and how positive emotions, such as gratitude and pride, can differentially and systematically influence ethical judgment toward a transgressing firm.

This study aims to examine the role of hope and hate in political leaders’ messages in influencing liberals versus conservatives’ social-distancing behavior during the COVID-19 pandemic. Given the increasing political partisanship across the world today, using the appropriate message framing has important implications for social and public policy.

The authors use two Natural Language Processing (NLP) methods – a pretrained package (HateSonar) and a classifier built to implement our supervised neural network-based model architecture using RoBERTa – to analyze 61,466 tweets by each US state’s governor and two senators with the goal of examining the association between message factors invoking hate and hope and increased or decreased social distancing from March to May 2020. The authors examine individuals’ social-distancing behaviors (the amount of nonessential driving undertaken) using data from 3,047 US counties between March 13 and May 31, 2020, as reported by Google COVID-19 Community Mobility Reports and the New York Times repository of COVID-19 data.

The results show that for conservative state leaders, the use of hate increases nonessential driving of state residents. However, when these leaders use hope in their speech, nonessential driving of state residents decreases. For liberal state leaders, the use of hate displays a directionally different result as compared to their conservative counterparts.

Amid the emergence of new analytic techniques and novel data sources, the findings demonstrate that the use of global positioning systems data and social media analysis can provide valuable and precise insights into individual behavior. They also contribute to the literature on political ideology and emotion by demonstrating the use of specific emotion appeals in targeting specific consumer segments based on their political ideology.

The findings have significant implications for policymakers and public health officials regarding the importance of considering partisanship when developing and implementing public health policies. As partisanship continues to increase, applying the appropriate emotion appeal in messages will become increasingly crucial. The findings can help marketers and policymakers develop more effective social marketing campaigns by tailoring specific appeals given the political identity of the consumer.

Using Neural NLP methods, this study identifies the specific factors linking social media messaging from political leaders and increased compliance with health directives in a partisan population.

Based on Indian conceptualisation of workplace spirituality, this study aims to examine the linkage between four dimensions of workplace spirituality (swadharma, authenticity, lokasangraha and sense of community) and work-to-family (WTF) enrichment. It also explored the mediating effect of psychological and social capital and the moderating effect of gratitude.

A sample of 387 women employees of Indian hospitality industry was collected in three waves. The collected data were analysed in three stages. Firstly, reliability, validity and multicollinearity were assessed using appropriate statistical measures like Cronbach’s alpha, composite reliability and average variance explained. Secondly, the relationship between four dimensions of workplace spirituality and WTF enrichment were examined using correlation and hierarchical regression. Several demographic variables like marital status, age, experience and income level were controlled. Thirdly, the moderating effect of gratitude and mediating effects of psychological and social capital were analysed using PROCESS macro.

The results showed adequate reliability and validity estimates. Also, four dimensions of Indian workplace spirituality were significantly related to WTF enrichment with these dimensions of workplace spirituality collectively explaining 46.8% variations in WTF enrichment. The results also concluded significant meditating effect of psychological and social capital. It also asserted significant moderating effect of gratitude.

The study is based on longitudinal data collected to test seven hypotheses of the study.

This study aims to investigate how gratitude, as compared to pride, can leverage the effectiveness of cause-related marketing, particularly a donation-based promotion. Drawing upon the appraisal tendency framework, this study establishes the underlying process driving these emotion effects. It also examines the moderating role of product type (hedonic vs utilitarian).

Five studies are conducted to test the predictions. Importantly, this study examines the predicted emotion effects across different sources of affect (dispositional, incidental and integral), different subject populations (students and Amazon Mechanical Turk panel) and different product categories (water bottle, chocolate and printer), leading to robust and generalizable findings.

Results show that gratitude (vs pride) increases the likelihood of purchasing a product with a donation-based promotion. This effect is mediated by gratitude’s other-responsibility appraisal and, in turn, increased reciprocity concerns (a serial mediation). Further, this study finds that how the gratitude (vs pride) effect is attenuated when the product is hedonic (but not utilitarian) in nature.

Past study on emotion and cause-related marketing has emphasized the role of negative emotions such as guilt. This study provides empirical evidence on the potential benefit of using positive emotions such as gratitude in cause-related marketing.

The implications of this study can benefit marketers by highlighting the use of gratitude appeals in their cause-related marketing campaigns.

The findings of the present research are significant because they highlight the potential role of a discrete positive emotion – gratitude – in leveraging the effectiveness of cause-related marketing and establish the underlying process driving this effect.

The purpose is to derive the most effective place in the air for an aerial robot, viz., drone to use as an alternative communication system during disasters.

In this technology-driven era, various concepts are becoming the area of interest for multiple researchers. Drone technology is also one of them. The researchers, with interest in drones, are therefore trying to understand the various uses of employing drones in diverse applications which are mind-boggling, starting from civil applications (viz., an inspection of power lines, counting wildlife, delivering medical supplies to inaccessible regions, forest fire detection, and landslide measurement) to military applications (viz., real-time monitoring, surveillance, patrolling, and demining). However, one area where its usage is still to be exploited in many countries is using drones as a relay when communication lines are disrupted due to natural calamities. This will be particularly helpful in rescuing the affected people as the aerial node will enable them to communicate to the rescue team using mobiles/ordinary landline telephones even when regular communication towers are destroyed due to disastrous natural calamities, for example, tsunamis, earthquakes, and floods. Various algorithms, namely, water filling algorithm, advanced water filling algorithm, equal power distribution algorithm, and particle swarm optimization, were therefore studied and analyzed using simulation in addition to various path loss models to realize the desired place for an aerial robot, viz., drone in the air, which will eventually be used as an alternative communication system for badly hit ground users due to any disaster.

It was found that the effective combination of the water filling algorithm and particle swarm optimization algorithm may be done to place the drone in the air to increase the overall throughput of the affected ground users.

The research is original. None of the parts of this research paper has been published anywhere.

Metaverse is one of the technologies that has the most promise for the future. However, there is less discussion about teaching using the metaverse. It is possible that most of the educators are ignorant of the metaverse’s features and its potential uses. The objective of this chapter is to define the metaverse precisely and discusses the various applications, characteristics, and challenges of metaverse in Education. This chapter explores the pioneering efforts in leveraging the metaverse for educational purposes, highlighting key examples and their impact on the learning experience. The possible applications of metaverse and research encounters in context to education are further reviewed and then explained and included the Artificial Intelligence (AI) functions in the world of metaverse along with learning based on metaverse. Researchers in the domains of educational technology and computer science shall advance an inclusive insight of the metaverse and its potential applications in education using various metaverse techniques like gamified learning, virtual learning, etc. Also, the metaverse role in education starting from the perception of AI has been covered.

This study aims towards developing a conceptual framework by systematically reviewing the available literature with reference to job crafting under the lens of an emerging economy from South Asia, i.e. India, which is the largest country and the largest economy in the South Asian region.

The study employs a hybrid methodology of a systematic literature review (SLR) and bibliometric analysis using VOSviewer and Biblioshiny. Bibliometric analysis provides glimpses into the current state of knowledge like-trend of publication, influential authors, collaboration with foreign authors, the major themes and studied topics on job crafting in India etc. Further, a detailed SLR of the selected articles led to the development of the conceptual framework consisting of the enablers and outcomes of job crafting.

It discusses implications for academia, business and society at large, and also provides valuable insights to policymakers and practitioners paving the way for better adoption, customization and implementation of job crafting initiatives.

Owing to its own unique social, cultural, and economic characteristics, the dynamics of job crafting in India may vary from other countries and regions which can also be reflective of how job crafting operates in South Asia in general. As job crafting was conceptualized and later evolved mostly in the western context, our study assumes greater significance as it is the first study which attempts to systematically review the job crafting literature to understand how job crafting manifests in the Indian context and presents a conceptual framework for the same.

The purpose of this study is to analyse the role of line management in promoting Diversity, Equity and Inclusion (DEI) in Higher Education Institutions (HEIs). Transformational leadership (TL) promotes DEI, and autocratic leadership curbs it.

The research approach is deductive from existing literature followed by auto ethnographic case study.

The finding of this study is how the autocracy of a line manager can kill the enthusiasm of a team member. Cascuta theory, which has been introduced as a parasitic form of management in paper, will come into existence when a less qualified and closed mindset is supervising a highly qualified and performing team.

The research limitations included inadequate autoethnographic case studies on similar circumstances. Also, the literature is divisive over the topic of DEI. On paper, policies are very strong; however, the implementation is not so good in many academic departments at many universities. Here, the whole HEIs is not to blame. Rather, the line manager has a bigger role in acknowledging or rejecting DEI. This research has many implications for studying the Cascuta phenomenon amongst DEI students, DEI staff.

The DEI colleagues in some academic departments of many universities in the UK are facing affinity biases. This study could be used to identify and remove the roadblocks in acknowledging the role of DEI in the UK HEIs. These remedies, though, might only be cosmetic. Persons who encourage affinity biases may also be the ones carrying out DEI programmes (Sodhi, 2024). Second, instead of taking concrete action to solve urgent social issues in the workplace, institutions may view DEI activities as regulatory mandates.

Regional committees could be a good alternative to explore the success of implementing DEI on a wider scale. The members could be from HEIs, who are renowned for their DEI policy implementation. Their implementation process, roadblocks, and wider benefits could be studied on a wider scale. The DEI people should be able to contribute to society with ownership. If they are contributing to the economy, education, or health care, they are an asset and not a burden on society. If HEI is not recognising DEI now, they may find their way out to a more acceptable place.

This is a novel study to explore the role of line leadership in promoting DEI in HEI using the deductive method, supported with an autoethnographic case study.