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This paper aims to draw on the appraisal theory and the theory of self-brand congruence (SBC) to study the multidimensional emotion of brand pride. It conceptualizes and validates the relationship of brand pride with SBC, brand loyalty and oppositional brand loyalty and establishes the role of narcissism as a moderator.

Standardized scales, including a new brand pride scale developed by the authors, were used to collect data from 522 respondents. Covariance-based structural equation modeling was used to test the conceptual model. Multi-group moderation analysis tested the differences in the proposed relationship between high and low narcissists.

Results posit brand pride as a multidimensional construct with SBC as its significant antecedent. The findings also support most hypothesized relationships between brand pride and behavioral outcomes. In addition, the study confirms the moderating effect of narcissism on the relationship between brand pride dimensions and brand loyalty and opposition brand loyalty.

The study sample was from a developing nation – India. Similar cohorts from developing and developed countries could provide a unique cross-nation comparison.

The role of brand pride in impacting brand loyalty and oppositional brand loyalty has significant implications for practice. Marketing communication to inculcate brand pride among consumers will significantly impact the brand’s profitability.

Validation of SBC as a precursor to brand pride and the relationship of brand pride with brand loyalty and oppositional brand loyalty contributes significantly to branding theory and practice. This study also establishes narcissism as a moderator between brand pride and loyalty outcomes.

Este artículo se basa en la teoría de la valoración y la teoría de la congruencia de la marca propia para estudiar la emoción multidimensional del orgullo de marca. Conceptualiza y valida la relación del orgullo de marca con la congruencia de marca propia, la lealtad de marca y la lealtad de marca oposicional, y establece el papel del narcisismo como moderador.

Se utilizaron escalas estandarizadas, incluida una nueva escala de orgullo de marca desarrollada por los autores, para recoger datos de 522 encuestados. Para probar el modelo conceptual se tudio un modelo de ecuaciones estructurales basado en la covarianza. El análisis de moderación multigrupo probó las diferencias en la relación propuesta entre narcisistas altos y bajos.

Los resultados tudioes el orgullo de marca como un constructo multidimensional con congruencia de marca propia como su antecedente significativo. Los resultados también apoyan la mayoría de las relaciones hipotetizadas entre el orgullo de marca y los resultados conductuales. Además, el tudio confirma el efecto moderador del narcisismo en la relación entre las dimensiones del orgullo de marca y la lealtad a la marca y la oposición a la lealtad a la marca.

La muestra del tudio procedía de un país en vías de tudioes: la India. Cohortes similares de países en tudioes y desarrollados podrían proporcionar una comparación única entre naciones.

El papel del orgullo de marca en el impacto de la lealtad de marca y la lealtad de marca opuesta tiene implicaciones significativas para la práctica. La comunicación de marketing para inculcar el orgullo de marca entre los consumidores tendrá un impacto significativo en la rentabilidad de la marca.

La validación de la congruencia con la propia marca como precursora del orgullo de marca y la relación del orgullo de marca con la lealtad de marca y la lealtad de marca de oposición contribuyen significativamente a la teoría y la práctica del branding. El tudio también establece el narcisismo como moderador entre el orgullo de marca y los resultados de lealtad.

本文借鉴评价理论和自我品牌一致性理论, 研究品牌自豪感的多维度情感。它概念化并验证了品牌自豪感与自我品牌一致性、品牌忠诚度和反对性品牌忠诚度的关系, 并确定了自恋作为调节器的作用。

使用标准化的量表, 包括由作者开发的新的品牌自豪感量表, 从522名受访者那里收集数据。一个基于协方差的结构方程模型被用来检验概念模型。多组调节分析检验了高自恋者和低自恋者之间拟议关系的差异。

结果表明, 品牌自豪感是一个多维的建构, 自我品牌一致性是其重要的前因。结果也支持品牌自豪感和行为结果之间的大部分假设关系。此外, 该研究还证实了自恋对品牌自豪感维度与品牌忠诚度和反对品牌忠诚度之间关系的调节作用。

印度。发展中国家和发达国家的类似队列可以提供一个独特的跨国比较。

品牌自豪感对品牌忠诚度和反对品牌忠诚度的影响作用对实践有重大意义。在消费者中灌输品牌自豪感的营销传播将对品牌利润率产生重大影响。

自我品牌一致性作为品牌自豪感的前兆的验证, 以及品牌自豪感与品牌忠诚度和反对性品牌忠诚度的关系, 对品牌理论和实践有很大的贡献。该研究还确定了自恋是品牌自豪感和忠诚度结果之间的一个调节器。

Globally, consumer’s inclination towards functional foods had noticed due to their greater health consciousness coupled with enhanced health-care cost. The fact that probiotics could promote a healthier gut microbiome led projection of probiotic foods as functional foods and had emerged as an important dietary strategy for improved human health. It had established that ice cream was a better carrier for probiotics than fermented milked due to greater stability of probiotics in ice cream matrix. Global demand for ice cream boomed and probiotic ice cream could have been one of the most demanded functional foods. The purpose of this paper was to review the technological aspects and factors affecting probiotic viability and to standardize methodology to produce functional probiotic ice cream.

Attempt was made to search the literature (review and researched papers) to identify diverse factors affecting the probiotic viability and major technological challenge faced during formulation of probiotic ice cream. Keywords used for data searched included dairy-based functional foods, ice cream variants, probiotic ice cream, factors affecting probiotic viability and health benefits of probiotic ice cream.

Retention of probiotic viability at a level of >10⁶ cfu/ml is a prerequisite for functional probiotic ice creams. Functional probiotic ice cream could have been produced with the modification of basic mix and modulating technological parameters during processing and freezing. Functionality can be further enhanced with the inclusion of certain nutraceutical components such as prebiotics, antioxidant, phenolic compounds and dietary fibres. Based upon reviewed literature, suggested method for the manufacture of functional probiotic ice cream involved freezing of a probiotic ice cream mix obtained by blending 10% probiotic fermented milk with 90% non-fermented plain ice cream mix for higher probiotic viability. Probiotic ice cream with functional features, comparable with traditional ice cream in terms of technological and sensory properties could be produced and can crop up as a novel functional food.

Probiotic ice cream with functional features may attract food manufacturers to cater health-conscious consumers.

This study investigates the mediating role of organizational change capacity (OCC) in the relationship between the perception of extreme contexts and firm product and process innovation, which was not empirically investigated in the literature. In addition, this study explores the moderating role of the perception of extreme contexts-related variables, which were not operationalized in ordinary firms, on the relationship between OCC and firm product and process innovation.

A questionnaire-based research was conducted to test the suggested hypotheses. The data were gathered from 90 firms during the peak period of COVID-19.

This study shows that OCC, which covers contexts, process and learning dimensions, fully mediates the relationship between the perception of extreme contexts and firm product and process innovation. Also, this study discovers that the perception of extreme contexts, including temporal ordering of extremity, the magnitude of consequences, proximity among people and operational deficiencies, positively moderate the relationship between OCC and firm product innovation.

This study has constraints inherited in survey design, primarily sampling and country context.

This study identifies, conceptualizes and operationalizes the term extreme context, conceptually argued for particular organizations/units in ordinary/mundane organization settings so far. In addition, this study extends the current understanding of how the perception of extreme contexts interacts with a firm's capability to increase innovation efforts. Further, this study shows how OCC mediates the relationship between extreme contexts and firm product and process innovation.

This study aims to examine the influence of reward personalization on financing outcomes in the Industry 5.0 era, where reward-based crowdfunding meets the personalized needs of individuals.

The study utilizes a corpus of 218,822 crowdfunding projects and 1,276,786 reward options on Kickstarter to investigate the effect of reward personalization on investors’ willingness to participate in crowdfunding. The research draws on expectancy theory and employs quantitative and qualitative approaches to measure reward personalization. Quantitatively, the number of reward options is calculated by frequency; whereas text-mining techniques are implemented qualitatively to extract novelty, which serves as a proxy for innovation.

Findings indicate that reward personalization has an inverted U-shaped effect on investors’ willingness to participate, with investors in life-related projects having a stronger need for reward personalization than those interested in art-related projects. The pledge goal and reward text readability have an inverted U-shaped moderating effect on reward personalization from the perspective of reward expectations and reward instrumentality.

This study refines the application of expectancy theory to online financing, providing theoretical insight and practical guidance for crowdfunding platforms and financiers seeking to promote sustainable development through personalized innovation.

There is an urgent need to develop climate-smart agrosystems capable of mitigating climate change and adapting to its effects. Conventional agricultural practices prevail in Mauritius, whereby synthetic chemical fertilizers, pesticides and insecticides are used. It should be noted that Mauritius remains a net-food importing developing country of staple food such as cereals and products, roots and tubers, pulses, oil crops, vegetables, fruits and meat (FAO, 2011). In Mauritius, the agricultural sector faces extreme weather conditions like drought or heavy rainfall. Moreover, to increase the crop yields, farmers tend to use 2.5 times the prescribed amount of fertilizers in their fields. These excess fertilizers are washed away during heavy rainfall and contaminate lakes and river waters. By using smart irrigation and fertilization system, a better management of soil water reserves for improved agricultural production can be implemented. Soil Nitrogen, Phosphorus and Potassium (NPK) content, humidity, pH, conductivity and moisture data can be monitored through the cloud platform. The data will be processed at the level of the cloud and an appropriate mix of NPK and irrigation will be used to optimise the growth of the crops. Machine learning algorithms will be used for the control of the land drainage, fertilization and irrigation systems and real time data will be available through a mobile application for the whole system. This will contribute towards the Sustainable Development Goals (SDGs): 2 (Zero Hunger), 11 (Sustainable cities and communities), 12 (Responsible consumption and production) and 15 (Life on Land). With this project, the yield of crops will be boosted, thus reducing the hunger rate (SDG 2). On top of that, this will encourage farmers to collect the waters and reduce fertilizer consumption thereafter sustaining the quality of the soil on which they are cultivating the crops, thereby increasing their yields (SDG 15).

Customer service conversations are becoming increasingly digital and automated, leaving service encounters impersonal. The purpose of this paper is to identify how customer service agents and conversational artificial intelligence (AI) applications can provide a personal touch and improve the customer experience in customer service. The authors offer a conceptual framework delineating how text-based customer service communication should be designed to increase relational personalization.

This paper presents a systematic literature review on conversation styles of conversational AI and integrates the extant research to inform the development of the proposed conceptual framework. Using social information processing theory as a theoretical lens, the authors extend the concept of relational personalization for text-based customer service communication.

The conceptual framework identifies conversation styles, whose degree of expression needs to be personalized to provide a personal touch and improve the customer experience in service. The personalization of these conversation styles depends on available psychological and individual customer knowledge, contextual factors such as the interaction and service type, as well as the freedom of communication the conversational AI or customer service agent has.

The article is the first to conduct a systematic literature review on conversation styles of conversational AI in customer service and to conceptualize critical elements of text-based customer service communication required to provide a personal touch with conversational AI. Furthermore, the authors provide managerial implications to advance customer service conversations with three types of conversational AI applications used in collaboration with customer service agents, namely conversational analytics, conversational coaching and chatbots.

Prior research treated entrepreneurs’ actions as purely opportunistic and voluntary, excluding social and economic systems’ influence on entrepreneurial actions. However, the applications of communication strategies, project management and social network are anchored in socioeconomic systems in which the entrepreneurs are rooted. To address the gap, this study aims to articulate – through the prism of institutional theory – how restaurant crowdfunding (CF) success is affected by socioeconomic prosperity according to entrepreneurs’ race and geographic area.

The current study analyzed 2,008 restaurant CF projects launched in the USA through the Kickstarter platform from 2010 to 2020. By conducting one-way analysis of variance and multilevel mixed-effect logistic regression models, this study examined the relative socioeconomic prosperity and CF success according to the race of the restaurant entrepreneurs. The study also examined how socioeconomic prosperity affected CF success and how that relationship was moderated by the entrepreneurs’ level of restaurant experience.

This study finds that relative socioeconomic prosperity and CF success does differ according to race. Also in the CF context, lower socioeconomic prosperity does impede fundraising success. While the level of restaurant experience significantly increased an entrepreneur’s CF success, the impact was not so significant as to overcome the impact of socioeconomic prosperity.

Drawing on institutional theory, this study examines the impact of socioeconomic prosperity on CF project outcomes. By uncovering the significant impact of socioeconomic systems on CF success, this study fills the research gap. Previous studies have generally treated minority entrepreneurs as an aggregated form. The authors’ results extend the literature by including major ethnic groups – whites, African Americans and Asians.

The findings of the current study show restaurant entrepreneurs can raise the likelihood of CF success by doing two things: first, accumulate experience in the restaurant industry; second, use their CF websites to highlight testimonials about the value of that experience. Federal, state and local governments can institute policies to help improve racial minorities’ socioeconomic conditions and thereby promote startups’ fundraising success.

To the best of the authors’ knowledge, this study is one of the first to examine unexplored institutional effect on CF outcomes. It examines how and why socioeconomic factors affect minority entrepreneurs’ funding success. It compares the prosperity and CF success of white, African American and Asian entrepreneurs.

This paper proposes a two-level supply chain including suppliers and manufacturers. The purpose of this paper is to design a resilient fuzzy risk-averse supply portfolio selection approach with lead-time sensitive manufacturers under partial and complete supply facility disruption in addition to the operational risk of imprecise demand to minimize the mean-risk costs. This problem is analyzed for a risk-averse decision maker, and the authors use the conditional value-at-risk (CVaR) as a risk measure, which has particular applications in financial engineering.

The methodology of the current research includes two phases of conceptual model and mathematical model. In the conceptual model phase, a new supply portfolio selection problem is presented under disruption and operational risks for lead-time sensitive manufacturers and considers resilience strategies for risk-averse decision makers. In the mathematical model phase, the stages of risk-averse two-stage fuzzy-stochastic programming model are formulated according to the above conceptual model, which minimizes the mean-CVaR costs.

In this paper, several computational experiments were conducted with sensitivity analysis by GAMS (General algebraic modeling system) software to determine the efficiency and significance of the developed model. Results show that the sensitivity of manufacturers to the lead time as well as the occurrence of disruption and operational risks, significantly affect the structure of the supply portfolio selection; hence, manufacturers should be taken into account in the design of this problem.

The study proposes a new two-stage fuzzy-stochastic scenario-based mathematical programming model for the resilient supply portfolio selection for risk-averse decision-makers under disruption and operational risks. This model assumes that the manufacturers are sensitive to lead time, so the demand of manufacturers depends on the suppliers who provide them with services. To manage risks, this model also considers proactive (supplier fortification, pre-positioned emergency inventory) and reactive (revision of allocation decisions) resilience strategies.

This paper provides evidence that the banking sector reforms of 2004 and 2009 enhanced prudential performance of the banking industry and financial system stability in Nigeria.

This study uses regression analysis with regime shift to confirm results from tests of two means and variances model to examine the effectiveness of banking sector reforms in Nigeria.

Evidence from the regression model agrees with findings from the test of means model (not controlling for trend effects) that capital to assets ratio rose while non-performing loan ratio declined after the reforms, and that capital to earning assets ratio rose when trend effects were accounted for. Both the regression model and the tests of means model controlling for trend effects show that return on asset, return on equity and return on earning assets ratios declined after the reforms.

This paper evaluated the effectiveness of banking sector reforms in Nigeria using models that avoid weaknesses that besieged many previous studies. It however used data covering 1983–2020 period, due to data availability. A larger scope of data may improve the results, and future research may re-examine this theme as more data become available. Furthermore, banking stability issues could be examined using specialised techniques such as the generalised autoregressive conditional heteroscedasticity model and related family.

These results suggest that the reforms led to improvement in the sector’s resilience (risks-absorbing capacity) and asset quality, and that profitability had not been the primary focus of the reforms.

The authors recommend that regulatory and supervisory authorities in Nigeria continue to implement and improve on banking sector reforms for a more resilient and functional banking system. As a contribution to social research, this study shows that studies on policy evaluation should be located within appropriate theoretical framework: the theory of change. It shows that an appropriate use of attribution analysis and contribution analysis within this theoretical framework engenders robust analysis and results. Otherwise, the analytical findings would be erroneous and policy advice misguided.

The statistical significance of our findings establishes that the banking sector reforms in Nigeria have been effective in promoting financial system stability in Nigeria. By deploying both the test of means with and without trend effects (an attribution analysis) and the multivariate regression analysis with regulatory shift (a contribution analysis), and relying more on the later for its superiority, this study contributes to the body of knowledge in that, it not only determined the true effects of banking sector reforms in Nigeria for appropriate policy guidance but also demonstrated that, in research, an inappropriate methodology produces results that may diverge from the more accurate ones that were derived from the correct methodology.

This study aims to scrutinize the halal trust model by integrating the quality and valence theory in the mobile food purchasing service during the COVID-19 outbreak.

This research uses data from 368 Muslim customers collected via an online survey from Bandung, West Java, Indonesia. This study uses partial least square modelling to appraise the formation of halal trust, including halal food quality, mobile apps quality, perceived benefit and health risk as drivers and loyalty as the consequence.

The data analysis notes that the combination of perceived quality and valence theory provides a comprehensive understanding of halal trust in mobile halal food purchasing during COVID-19. This study also verifies the crucial role of halal food quality and mobile apps quality in gaining halal trust.

This study used data from Muslim customers of the greater Bandung, Indonesia. The data limited the generalization of this study's findings. Moreover, this study predicted halal trust by integrating perceived benefit, perceived trust and quality as the predictors, whereas other determinants such as commitment and reputation were not included. Therefore, future researchers can incorporate these issues in their future halal trust research.

To gain Muslim trust, this study recommends managers whose halal food is sold via mobile apps ensure that their halal food has a quality standard, made of, and processed according to Islamic values. Next, having a high-quality mobile app is also a must.

This study is early research that examines the integration of the quality and valence theory to evaluate halal trust in mobile halal food purchasing during COVID-19.