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Based on the concepts confined in Ajzen's theory of planned behavior (TPB), this study investigates users' attitudes towards adoption of a blockchain-based framework in the esports industry that proposes a scheme of rewarding stakeholders for their invested attention along with blockchain technology's inherent protocols.

The present study uses RStudio (Version 1.3.1093) package RedditExtractoR for scraping and analysis of the discussion referring to the keyword “Verasity” on the Reddit website. The final corpus of 1,913 user comments was considered for the study. Sentiment analysis was initially conducted to explore the semantic orientation of the users concerning Verasity. This was followed by generalized equation modeling to analyze the impact of social media attributed to the users' commenting behavior.

The study found that Redditors, in general, have a positive attitude towards the adoption of a blockchain-based esports platform. This was validated through the empirical findings. The regression model states that there is a significant positive impact of the positivity in the comments over the Redditors' attitude and in their commenting behavior.

This study offers a new understanding of key contributing attributes of sentiment formation over social media concerning a blockchain-based esports framework. The study also establishes an empirical relationship between the social media attributes and the commenting behavior of Redditors. Finally, the current study offers valuable insights into social media engagements and the selection of highly influential Redditors for practicing marketing managers.

The paper aims to explore the influence of cybersecurity on the semantic orientation of the sports consumers. Focusing on both sport and esports, this study finds the social media factors contributing in the sentiment formation and commenting behavior on Twitter and proposes a scheme for attitude modulation through identification of highly engaged nano-influencers.

Experimental design was used as the research methodology. Data mining from Twitter using RStudio software was conducted using the keyword “cybersecurity” during the time of pandemic. Final corpus of 31,891 tweets were considered for the study. Initial sentiment analysis has been conducted to explore the consumer's emotional inclination towards cybersecurity. Further through generalized equation modeling the impact of social media attributes over the consumer's posting behavior has been analyzed.

The research findings reveal that users are inherently positive towards cybersecurity adoption in sports and the factors such as number of tweets, number of positive words contained in these tweets and the authenticity of the information source boost the pre-established tweeting behavior. However, the influx of information from non-organizational sources such as trending topics and discussions have negative impact over the users.

This study is first to explore the role of nano-influencers as communication moderators over digital social platforms. This study offers a new understanding of key contributing attributes of sentiments formation over social media and offers a scheme of selection of nano-influencers to modulate the pre-established sentiments of the users. Finally, the current study offers valuable insights into social media engagements and selection of nano-influencers for practicing marketing managers.

Black cumin (Nigella sativa L.) is well known for its strong, hot, peppery taste and has many nutritional, pharmaceutical and traditional therapeutic uses. The aim of this study was to investigate the antioxidant effect of different solvent extracts of black cumin seed to retard lipid and protein oxidation in raw ground pork meat during refrigerated storage (4 ± 1°C) for nine days.

Black cumin extracts (BCEs) were prepared using different solvents, namely, ethanol, water, ethanol:water (60:40) and methanol:hot water (60:40). Extracts were analysed for total phenolic content (TPC), 1,1 diphenyl-2-picrylhydrazil (DPPH) radical scavenging activity and reducing power. Based on the results, water extract (WE) and ethanol–water extract (EHWE) of black cumin were selected and incorporated at 1.5 per cent into freshly minced pork meat and compared with a synthetic antioxidant, butylated hydroxytoluene (BHT; 100 ppm), in retarding lipid and protein oxidation. Treated and control samples were aerobically packed in low-density polyethylene bags for analysis of various parameters (pH, colour and odour score, peroxide, lipid and protein oxidation) during nine-day refrigerated storage study.

Results showed that BCEs had a good amount of TPC (4.4-7.4 mg gallic acid equivalents/g) and also DPPH scavenging activities (33.96-44.23 per cent), with WE and EHWE extracts showing highest reducing power and promising antioxidant capacity. Hence, BCEs (WE and EHWE) incorporated at 1.5 per cent into freshly minced pork meat was tested, compared to BHT (100 ppm) and control samples, in retarding lipid and protein oxidation during storage. In BCE-treated samples, thiobarbituric acid reacting substances, free fatty acids, peroxide, formation of protein carbonyls and off-odour or rancid odour development were lower than control and values were comparable with BHT. Incorporation of BCE did not negatively affect the colour of ground pork.

BCEs (WE and EHWE) at 1.5 per cent inhibited protein and lipid oxidation and it could be exploited commercially as an effective alternative in retarding oxidative deterioration of meat products.

The purpose of the present article is to obtain the similarity solution for the shock wave generated by a piston propagating in a self-gravitating nonideal gas under the impact of azimuthal magnetic field for adiabatic and isothermal flows.

The Lie group theoretic method given by Sophus Lie is used to obtain the similarity solution in the present article.

Similarity solution with exponential law shock path is obtained for both ideal and nonideal gas cases. The effects on the flow variables, density ratio at the shock front and shock strength by the variation of the shock Cowling number, adiabatic index of the gas, gravitational parameter and nonidealness parameter are investigated. The shock strength decreases with an increase in the shock Cowling number, nonidealness parameter and adiabatic index, whereas the strength of the shock wave increases with an increase in gravitational parameter.

Propagation of shock wave with spherical geometry in a self-gravitating nonideal gas under the impact of azimuthal magnetic field for adiabatic and isothermal flows has not been studied by any author using the Lie group theoretic method.

This study aims to integrate the theory of planned behavior (TPB) and the value-belief-norm (VBN) theory into a meta-analytic framework to synthesize green consumption literature.

By integrating the findings from 173 studies, a meta-analysis was performed adopting several analytical methods: bivariate analysis, moderation analysis and path analysis.

VBN- and TPB-based psychological factors (adverse consequences, ascribed responsibility, personal norms, subjective norms, attitude and perceived behavioral control) mediate the effects of altruistic, biospheric and egoistic values on green purchase intention. Further, inconsistencies in the proposed relationships are due to cultural factors (i.e. individualism-collectivism, power distance, uncertainty avoidance, masculinity–femininity, short- vs long-term orientation and indulgence-restraint) and countries’ human development status.

The authors selected papers published in English; hence, other relevant papers in this domain published in other languages might have been missed.

The findings are useful to marketers of green offerings in designing strategies, i.e. specific messages, targeting different customers based on countries’ cultural score and human development index, to harvest positive customer responses.

This study is the pioneering attempt to synthesize the TPB- and VBN-based quantitative literature on green consumer behavior to resolve the reported inconsistent findings.

This review aims to synthesize the brand hate literature and suggest directions for future research on brand hate.

This study adopted an integrative literature review method to synthesize and assess the brand hate literature.

The synthesis showed that social identity theory, disidentification theory and duplex theory are prominently used in brand hate studies, and a larger portion of brand hate research was conducted in Western countries. Further, brand-related, self-congruity, personal factors, information influence and brand community influence are the major types of antecedents of brand hate which can produce soft or hard consequences. Lexicometric analysis showed causes of brand hate, consumers' negative emotional and behavioral outcomes and community anti-brand behavior as key themes of brand hate research.

The synthesis has followed predefined criteria for the inclusion research papers. Thus, the review is limited to articles that fulfilled the criteria for inclusion.

The finding will help marketers, specially brand managers, craft strategies to handle brand hate.

The brand hate literature is still developing and remains incoherent, suggesting that a synthesized review is needed. This study has systematically reviewed and synthesized the brand hate literature to study its development over time and proposes a framework which provides a comprehensive understanding of brand hate.

The purpose of this paper is to combine the uncertain methods of type-2 fuzzy sets and data envelopment analysis (DEA) evaluation model together. A new type-2 fuzzy DEA efficiency assessment method is established. Then the proposed procedure is applied to the poverty alleviation problem.

The research method is the DEA model, which is an effective method for efficiency assessment of social–economic systems. Considering the existence of the same efficiency values that cannot be ranked in the proposed DEA model, the balance index is introduced to solve the ranking problem of decision-making units effectively.

The results show that the proposed method can not only measure the efficiency of the existence of uncertain information but also deal with the ranking of multiple efficient decision-making units.

This paper selects type-2 fuzzy DEA model to express a lot of uncertain information in efficiency evaluation problems. We use the parameter decomposition method of type-2 fuzzy programming or the type-2 expectation values indirectly. The balance index is proposed to further distinguish the multiple effective decision-making units. Furthermore, this paper selects rural poverty alleviation in Hainan Province as a case study to verify the feasibility of the method. The relative efficiency values in different years are calculated and analyzed.

Research in critical disaster studies stresses the urgency to explore alternative ontological framings (Gaillard and Raju, 2022) that encourages researchers and practitioners, especially Indigenous communities, to nurture spaces where Indigenous voices are well represented. It is imperative that research in the Pacific should be guided by Pacific research methodologies to maximize positive outcomes (Ponton, 2018) and break free from limited Eurocentric ideologies that are often ill-suited in Pacific contexts. Hazards in the South Pacific region have become more frequent and volatile. This has created a growing interest in the study of disasters in the region. However, current disaster studies in the Pacific are often problematic as they often fail to challenge the implicit coloniality of the discipline.

This paper will expand on these arguments, suggesting ways to overcome the limits of common Eurocentric research frameworks in disaster studies and to illustrate the significance and relevance of Pacific methodologies.

It is pertinent that critical disaster studies encapsulate Pacific worldviews and knowledge as valued and valid to reconstruct Pacific research. Decolonizing disaster research will ultimately liberate the discipline from limitations of its colonial past and allow for truly engaging and critical research practices.

This paper will illustrate and articulate how Talanoa, a pan-Pacific concept, could offer a more culturally appropriate research methodology to disasters, seen through a Samoan lens. Talanoa is an informal conversation that is widely shared among Pacific communities based on pure, authentic and real conversations which are crucial elements in building relationships with Pacific communities (Vaioleti, 2006).

This paper is a critique of Western modernity and the problems and promises of postmodernism in (re)liberating disaster studies. It criticizes metanarratives and grand theories of Western discourses to advance postmodern discourses in disaster studies.

This paper outlines a conceptual domain through which approaches of postmodernism can be employed to (re)liberate disaster studies.

Metanarratives and grand theories frame the scope and focus of disaster studies. But the increasing number and the aggravated impacts of disasters and environmental challenges in the late 20th and early 21st centuries are proofs that our current “frames” do not capture the complexities of disasters. Postmodernism, in its diversity and various meanings, offers critical and complementary perspectives and approaches to capture the previously neglected dimensions of disasters.

Postmodernism offers ways forward to (re)liberate disaster studies through ontological pluralism, epistemological diversity and hybridity of knowledge.

The agenda of postmodernism in disaster studies is proposed in terms of the focus of inquiry, ontological and epistemological positionalities, research paradigm, methodologies and societal goals.

The purpose of this paper is to review phytochemical potential of acacia and its associated health advantages. Acacia a moderate-sized, deciduous tree and recognised as health-promoting species because of availability of essential bioactive components. The bioactive compounds such as tannins, flavonoids, alkaloids, fatty acids and polysaccharides (gums) present in the plant parts of acacia, namely, bark, leaves, flowers, fruits, twigs and seeds, have medicinal value and thus are used to overlay the formulations of plant-based drugs and value-added foods.

Major well-known bibliometric information sources such as Web of Science, Scopus, Mendeley and Google Scholar were searched with keywords such as “nutrition value of acacia”, “bioactive compounds”, “health benefits”, “processing and safety” were chosen to obtain a database of 1,428 papers. The search considered papers in the English language from the past 18 years of publication in journals (2004–2022). The article selection process consisted of the screening of titles and abstracts, based on inclusion and exclusion criteria. Articles that did not have acacia components as a study objective were taken into consideration for exclusion. A final database of 87 scientific sources was made after sorting and classifying them according to different criteria based on topic relevance, country of origin and year of publication. Articles with other random descriptors were also searched to complement the discussion of the results obtained.

The literature reflected that acacia contains all necessary phytochemicals like polyphenols, flavonoids, terpenoids, glucosinolates, alkaloids and carotenoids along with essential macro, micro-nutrients. Furthermore, processing methods such as soaking, cooking, roasting and dehusking significantly reduced the anti-nutritional factors present in acacia seeds of different species. This review also focused on the processing methods that are used to eliminate or lower down the anti-nutritional factors from the seeds. Previous findings related to acacia plant parts with respect to food development are explored and mentioned.

This review emphasised mainly on recent studies that had been reported on ethnomedical acacia plants therapeutically, commercially and exponentially for further studies to increase the utilisation in food processing.