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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。

The COVID-19 pandemic interrupts the supply chain of products around the world. The supply chains of beauty and personal care products in Bangladesh are also heavily interrupted during this pandemic. While these products are perceived as essential by mass people, retailers are struggling to get the supply of the products and maintain a smooth delivery to the people. Considering such facts, the purposes of the study are to identify how the supply of retailers of these products is interrupted and how they can overcome the interruptions to ensure supply resilience.

A case study method has been used in this study. The data has been collected through interviews from 16 retailers of beauty and personal care products.

The results show that the supply of retailers of beauty and personal care products is interrupted in several ways. These include product shortage, limited delivery service, interruption of supplier payment, limited credit facility and irregularity in product delivery. To minimize the impacts of the interruptions and enhance supply resilience, retailers can undertake several strategies including intensive interactions and developing cooperation with the distributors and manufacturers, ordering bulk quantity, formulating an adjusted credit ratio and focusing on product availability over brand preference.

The context of this study is limited to the beauty and personal care products of Bangladesh. Further study can be conducted in other countries and also supply chains of other products to enhance the generalizability of the findings of this study.

Supply interruptions are identified, and strategies are suggested to ensure the supply resilience of retailers of beauty and personal care products. If proposed strategies are implemented by retailers of these products, supply interruptions can be minimized.

The study contributes to the knowledge of the retail supply chain during a pandemic. It also contributes to the supply management and resilience of retailers. As the context is a developing country, the study also contributes to the literature on developing countries.

Crop suitability analysis is vital for identifying a piece of land’s potential for sustainable crop production and aids in the formulation of an effective agricultural management plan. This study aims to conduct crop suitability analysis of prominent Kharif (rice and maize) and Rabi (potato and wheat) crops in Sirajganj district, a flood-prone area of Bangladesh, and recommend a suitable cropping pattern to mitigate the detrimental effects of flooding.

Various factors such as soil drainage, soil depth, soil moisture, soil texture, soil permeability, soil pH, erosion hazard, nutrient status and flooding risk were considered for this study. For all four crops, the weights of each factor were determined using the analytical hierarchy process approach, and the scores of each subfactor were assigned on the basis of favorable circumstances of crop cultivation. Using the weighted overlay analysis in the ArcGIS 10.3 environment, the crop suitability maps were generated and were divided into four suitable classes. Geographic information system integration of crop suitability for all the crops determined the suitable cropping pattern of the study area in Kharif and Rabi seasons.

A vast portion of the study area covering 64.80% of the total land is suitable for cultivating either rice or maize in Kharif season followed by either potato or wheat in Rabi season. Other suitable cropping pattern for Kharif and Rabi seasons found in the study area are rice-wheat, rice-wheat/potato, rice/maize-wheat and rice/maize-potato, which covers a little portion of the study area.

This research validates the suitable location of crop cultivation on the basis of flooding occurrences in the locality.

In this paper, two studies examine the effects of Hispanic-targeted ads on three consumer-brand relationships (i.e. brand love, brand attachment and attitude toward the brand) and their behavioral outcomes. Additionally, this paper aims to examine how product involvement moderates these effects.

Study 1 demonstrates the linkages between three consumer–brand relationships (i.e. brand love, brand attachment and attitude toward the brand) and their antecedents. In Study 2, by testing the nomological network of the antecedents and consequences of brand love, the authors extend the results of the previous study.

Study 1 provides evidence that ethnic advertising has the strongest effect on brand love in comparison with other alternative consumer-brand relationship constructs. In Study 2, results show that only for low-involvement products, the perceived similarity of customers with Hispanic models in ads could lead to a higher positive attitude toward the ad. However, in the high-involvement condition, perceived similarity did not mediate the relationship between those constructs, which is in line with Elaboration Likelihood Model.

From the practical and managerial perspective, this paper proposes that managers should concentrate on ads with ethnic cues, especially for low involvement products. Hence, it would be worthwhile for companies to consider ads with ethnic cues to effectively develop deep consumer–brand relationships.

This paper investigates the effects of targeted ads on deeper relationships (e.g. brand love) and its behavioral consequences. Therefore, the authors show how Hispanic targeted ads could lead to deep consumer–brand relationships which encompass both the mind and heart of customers.

En este trabajo, dos estudios examinan los efectos de los anuncios dirigidos a los hispanos en tres relaciones entre el consumidor y la marca (el amor por la marca, el apego a la marca y la actitud hacia la marca) y sus resultados conductuales. Además, examinamos cómo la implicación del producto modera estos efectos.

El Estudio 1 demuestra los vínculos entre tres relaciones consumidor-marca (el amor a la marca, el apego a la marca y la actitud hacia la marca) y sus antecedentes. En el Estudio 2, al comprobar la red nomológica de los antecedentes y las consecuencias del amor a la marca, ampliamos los resultados del estudio anterior.

El Estudio 1 aporta pruebas de que la publicidad étnica es la que más influye en el amor a la marca, en comparación con otros constructos alternativos de relación entre los consumidores y la marca. En el Estudio 2, los resultados muestran que sólo en el caso de los productos de baja implicación, la similitud percibida de los clientes con los modelos hispanos en los anuncios podría conducir a una mayor actitud positiva hacia el anuncio. Sin embargo, en la condición de alta implicación, la similitud percibida no medió en la relación entre esos constructos, lo que está en consonancia con el Elaboration Likelihood Model.

Desde el punto de vista práctico y de gestión, este trabajo propone que los gestores se centren en los anuncios con señales étnicas, especialmente para los productos de baja implicación. Por lo tanto, valdría la pena que las empresas tuvieran en cuenta los anuncios con señales étnicas para desarrollar eficazmente relaciones más estrechas entre el consumidor y la marca.

Este trabajo investiga los efectos de los anuncios dirigidos en las relaciones profundas (i.e., el amor a la marca) y sus consecuencias conductuales. Por lo tanto, mostramos cómo los anuncios dirigidos a los hispanos podrían conducir a relaciones profundas entre el consumidor y la marca que abarcan tanto la mente como el corazón de los clientes.

本文的两项研究考察了以西班牙裔为目标的广告对三种消费者-品牌关系（即品牌喜爱、品牌依恋和对品牌的态度）及其行为结果的影响。此外, 我们还研究了产品参与是如何调节这些影响的。

研究1展示了三种消费者-品牌关系（即品牌喜爱、品牌依恋和对品牌的态度）与其前因之间的联系。另外, 通过在研究2中测试品牌热爱前因后果的法理网络, 我们扩展了之前研究的结果。

研究1提供的证据表明, 民族广告对品牌喜爱的影响强于其他的消费者品牌关系建构。研究2的结果显示, 与西班牙裔模特的相似性只有在低介入产品中被感知, 才会让顾客产生对广告的更高积极态度。然而, 在高介入条件下, 感知相似性并没有调解这些建构之间的关系, 这与细化可能性模型是一致的。

从实践和管理的角度来看, 本文建议管理者应该把注意力集中在有民族线索的广告上, 尤其是低介入产品。因此, 为了有效地发展深层次的消费者-品牌关系, 企业考虑带有民族线索的广告是值得的。

本文研究了目标广告对深层关系（如品牌喜爱）的影响及及其行为后果。因此, 我们展示了以西班牙裔为目标的广告是如何能够导致一个深层次, 顾客思想与心灵上的消费者-品牌深层关系。

With the rapid development of the digital economy, an increasing number of digitalized two-sided platforms have deployed the tying strategy to leverage their market power from the core two-sided product to other two-sided products in the competitive market, which transforms the competition among single platforms into that among platform ecological networks. To clarify the mechanism of the formation of the digital platform ecological networks, this paper aims to analyze the expansion and stability of platform ecology by exploring the impacts of network externalities and sellers’ heterogeneity on the tying strategy of two-sided platforms.

This paper develops a game model of two-sided platforms based on Choi and Jeon (2021), which highlights the decisive influence of non-negative price constraints (NPC) on platforms’ tying motivation. Taking the operating systems market as an example, we expand from the perspective of platform service differences to relax the NPC and explore the internal logic of platform ecosystem expansion.

Platforms have an incentive to charge lower prices or even subsidize buyers when the network externalities on the sellers’ side are relatively strong. When the product is highly differentiated and heterogenous, platforms are motivated to tie to capture more buyers with a lower price and grab excess profits from sellers. Eventually, tying is able to consolidate the two-sided platform ecological networks by excluding competitors, capturing user value and deterring entry.

In order to describe the characteristics of platform ecological network more generally, this paper extends the research based on the analyses of Choi and Jeon (2021) by (1) allowing horizontal differences between tied products and (2) relaxing the NPC. Unlike Choi and Jeon (2021), this paper allows platforms to charge users of two-sided platforms at negative prices (or to subsidize them). (3) Setting simultaneous pricing in two-sided platforms. Classical two-sided market theory stresses that the presence of cross-network externalities can give rise to a “chicken and egg” problem.

This case study examines the new product development (NPD) process of digital information products (DIPs) and its critical success factors (CSFs) in a small-sized German enterprise.

A case study was conducted with a small firm focused on the development of DIPs; data were obtained through semi-structured interviews, direct observation and document analysis.

The firm uses an informal and cross-functional NPD process (idea generation, idea validation, product creation and product launch) in converting an idea into a sellable product. Peculiar aspects of each stage within the process as well as ten CSFs to NPD projects were verified.

Limitations are attributed to its qualitative nature, which does not allow generalizations, though careful attention was given to validity and reliability issues through the use of data source triangulation.

The paper provides a conceptual process that may benefit further initiatives for developing and launching DIPs, as well as a comprehensive list of CSFs for such projects.

This paper is the first one to schematize the NPD process and practices for DIPs, as well as key capabilities. It contributes to the NPD literature in discussing dynamic aspects that are typical to the firm analyzed and to others operating in a digital context. At the same time, it reinforces other traditional aspects that have become overlooked in digital business debates.

The purpose of this study is to summarize the available pool of literature on service quality to identify different dimensions of service quality in the healthcare industry and understand how it is measured. The study attempts to explore the research gaps in the literature about different service quality dimensions and patient satisfaction.

A systematic literature review process was followed to achieve the objectives of the study. Various inclusion and exclusion criteria were used to select relevant research articles from 2000–2020 for the study, and a total of 100 research articles were selected.

The study identified 41 different dimensions of healthcare service quality measurement and classified these dimensions into four categories, namely servicescape, personnel, hospital administration and patients. It can be concluded that SERVQUAL is the most widely used service quality measurement tool.

The study identified that a majority of the researchers deduced a positive relationship between SERVQUAL dimensions and the quality of healthcare services. The findings of study will assist hospital executives in formulating effective strategies to ensure that patients receive superior quality healthcare services.

This study examines the adoption drivers of scale-appropriate mechanization in Nepal's maize-based farming systems. The authors also assess the contribution of scale-appropriate mechanization to the United Nations Sustainable Development Goals (SDGs) of zero hunger (SDG2) and no poverty (SDG1).

Propensity score matching and doubly robust inverse probability-weighted regression adjusted methods were applied to estimate the effects of mini-tiller adoption. These methods control the biases that arise from observed heterogeneities between mini-tillers users and nonusers.

The study findings show that farm size, labor shortages, draft animal scarcity, market proximity, household assets and household heads' educational level influence the adoption of mechanization in Nepal. Mechanized farms exhibited enhanced maize productivity, profits and household food self-sufficiency. Reduced depth and severity of poverty were also observed. Nevertheless, these effects were not uniform; very small farms (≤0.41 ha) facing acute labor shortages benefited the most.

The study results suggest that policymakers in developing nations like Nepal may wish to expand their emphasis on scale-appropriate mechanization to improve farm productivity and household food security, reduce poverty and contribute to the SDGs.

This first-of-its-kind study establishes the causal effects between scale-appropriate farm mechanization and SDG1 (no poverty) and SDG2 (zero hunger) in a developing nation.

This paper aims to address a gap in investigating specific impacts of climate change on mental health in the Pacific region, a region prone to extreme events. This paper reports on a study on the connections between climate change, public health, extreme weather and climate events (EWEs), livelihoods and mental health, focusing on the Pacific region Islands countries.

This paper deploys two main methods. The first is a bibliometric analysis to understand the state of the literature. For example, the input data for term co-occurrence analysis using VOSviewer is bibliometric data of publications downloaded from Scopus. The second method describes case studies, which outline some of the EWEs the region has faced, which have also impacted mental health.

The results suggest that the increased frequency of EWEs in the region contributes to a greater incidence of mental health problems. These, in turn, are associated with a relatively low level of resilience and greater vulnerability. The findings illustrate the need for improvements in the public health systems of Pacific nations so that they are in a better position to cope with the pressures posed by a changing environment.

This paper contributes to the current literature by identifying the links between climate change, extreme events, environmental health and mental health consequences in the Pacific Region. It calls for greater awareness of the subject matter of mental health among public health professionals so that they may be better able to recognise the symptoms and relate them to their climate-related causes and co-determinant factors.

The amount of features in handwritten digit data is often very large due to the different aspects in personal handwriting, leading to high-dimensional data. Therefore, the employment of a feature selection algorithm becomes crucial for successful classification modeling, because the inclusion of irrelevant or redundant features can mislead the modeling algorithms, resulting in overfitting and decrease in efficiency.

The minimum redundancy and maximum relevance (mRMR) and the recursive feature elimination (RFE) are two frequently used feature selection algorithms. While mRMR is capable of identifying a subset of features that are highly relevant to the targeted classification variable, mRMR still carries the weakness of capturing redundant features along with the algorithm. On the other hand, RFE is flawed by the fact that those features selected by RFE are not ranked by importance, albeit RFE can effectively eliminate the less important features and exclude redundant features.

The hybrid method was exemplified in a binary classification between digits “4” and “9” and between digits “6” and “8” from a multiple features dataset. The result showed that the hybrid mRMR +  support vector machine recursive feature elimination (SVMRFE) is better than both the sole support vector machine (SVM) and mRMR.

In view of the respective strength and deficiency mRMR and RFE, this study combined both these methods and used an SVM as the underlying classifier anticipating the mRMR to make an excellent complement to the SVMRFE.