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This study aims to examine an emerging product–place co-branding marketing practice in China’s rural areas. The role of this practice in inclusive development is analyzed from the perspectives of value proposition innovation, market legitimacy, media coverage and brand value. Both research and practice indicate value proposition innovation to exert an important influence on brand value enhancement, but little is known about the mediating and moderating mechanisms underlying this relation.

A moderated mediation model is constructed to examine whether market legitimacy mediates the relationship between value proposition innovation and brand value. vWhether this mediating process is moderated by media coverage is also examined. The primary data are collected from semi-structured interviews and observations conducted with two common cases to develop proper scales for value proposition innovation and market legitimacy. The research includes 100 product–place co-brandings published by the Ministry of Agriculture and Rural Affairs in 2019. Hypotheses are tested using hierarchical regression and a Bootstrap model.

Value proposition innovation has a positive effect on brand value, and market legitimacy partially mediates this relationship. Media coverage positively moderates the relationship between value proposition innovation and market legitimacy, and positively moderates the mediating effect of market legitimacy; the higher the media coverage, the stronger the mediating effect of market legitimacy.

Based on data availability and accessibility, the study sample focused on indicators from 100 brands in 2019. If the Ministry of Agriculture and Rural Affairs discloses consecutive annual information for other years, future studies could explore panel data to further test the study’s conclusions from a longitudinal perspective.

First, this paper adds to the emerging literature on product–place co-branding business models by examining the relationship between value proposition innovation and brand value. Second, this paper enriches institutional theory by including market legitimacy as a mediator between value proposition innovation and brand value. Third, this paper identifies the moderating role of media coverage, thus broadening the theoretical implications of institutional theory with respect to improving market legitimacy.

Customer lifetime value (CLV) is one of the key indicators to measure the success or health of an organization. How can an organization assess the organization's customers' lifetime value (LTV) and offer relevant strategies to retain prospective and profitable customers? This study offers an integrated view of different methods for calculating CLVs for both loyalty members and non-membership customers.

This study outlines eleven methods for calculating CLV considering (1) the deterministic aspect of NPV (Net present value) models in both finite and infinite timespans, (2) the geometric pattern and (3) the probabilistic aspect of parameter estimates through simulation modeling along with (4) the migration models for including “the probability that customers will return in the future” as a key input for CLV calculation.

The CLV models are validated in the context of complementary and alternative medicine (CAM)in the healthcare industry. The results show that understanding CLV can help the organization develop strategies to retain valuable customers while maintaining profit margins.

The integrated CLV models provide an overview of the mathematical estimation of LTVs depending on the nature of the customers and the business circumstances and can be applied to other business settings.

The Islamic world spans many different languages with different language structures. This paper aims to explore one way in which language structure affects consumer response to the marketing of cobrands.

Two between subject experiments were conducted using samples of participants from Saudi Arabia and the USA. The first manipulated partner brand category similarity and brand name order, along with the structure of the language used to communicate with the market. The data for this study includes Arabic speakers in Saudi Arabia as well as English speakers in the USA. The second study explores how targeting a population fluent in multiple languages of varied structure nullifies the findings from the first study and uses Latino participants in the USA.

This study finds that when brands come from similar product categories, name order did not affect cobrand evaluations, but it did when the brands come from dissimilar product categories. Here, evaluations of the cobrand are enhanced when the invited brand is in the position that adjectives occupy in the participant’s language. The authors also find that being proficient in two languages, each with a different default order for adjectives and nouns, quashes the effect of name order otherwise seen when brands from dissimilar product categories engage in cobranding.

By examining the impact of language structure on the effects of cobrand evaluation and conducting studies among participants with differing dominant languages, this research can rule out simple primacy or recency effects.

This study aims to examine the effects of perceived product–brand fit and brand type on consumer evaluations of wearable smart masks’ technological, aesthetic and social attributes and how these affect consumers’ attitudes and intentions to use.

Through an experimental approach, a total of 240 US consumers’ evaluations of smart masks are compared according to perceived product–brand fit (high vs low) and brand type (electronics vs fashion).

The results showed that high perceived product–brand fit increases consumers’ evaluations, while brand type did not significantly affect consumers’ evaluations. Among various attributes, social acceptability had the greatest influence on consumers’ attitude and intention to use. Perceived ease of use, however, positively influenced attitude but negatively influenced intention to use.

As consumers’ interest in smart health-care wearables increases and air pollution is a serious issue across countries, research on wearable smart masks is being facilitated. Smart masks refer to the digitalized, reusable wearable masks that provide protection and health-care functions. However, their market penetration is still limited. To close this gap between smart mask technology and the market, this study examines how perceived fit and brand type can be used to enhance consumer evaluations.

The purpose of this study is to analyze the nonlinear effects of corporate philanthropy on the responses of both internal and external stakeholders as well as its impact on corporate financial performance.

Based on the stakeholder theory, the authors developed a conceptual model to examine the nonlinear effects of corporate philanthropy on company performance. For the empirical analysis, data from 397 company-years was analyzed using a using a Heckman two-stage model. The robustness of the findings was also confirmed through panel regression analysis.

The study revealed a linear relationship between corporate reputation and corporate philanthropy, whereas job satisfaction exhibited a nonlinear relationship with corporate philanthropy.

This research bridges the gap in extant literature by scrutinizing the nonlinear associations between corporate philanthropy and financial performance. Additionally, it addresses an emerging scholarly demand to uncover the “dark side” of corporate philanthropy through an investigation into its adverse impacts on employee satisfaction. Moreover, the study augments existing understandings of stakeholder theory and corporate philanthropy, positing that the influence of corporate philanthropy, as conceptualized through stakeholder theory, hinges on perceived fairness in multilateral relationships.

Artificial intelligence (AI) allows the brand to co-create value with young customers through mobile apps. However, as many brands claim that their mobile apps are using the most updated AI technology, young customers face app fatigue and start questioning the authenticity of this touchpoint. This paper aims to study the mediating effect of authenticity for the value co-creation of AI-powered branded applications.

Drawing from regulatory engagement theory, this study conceptualize authenticity as the key construct in customers’ value experience process, which triggers customer value co-creation. Two scenario-based online experiments are conducted to collect data from 444 young customers. Data analysis is performed using ANOVA and Process Hayes.

The results reveal that perceived authenticity is an important mediator between media richness (chatbot vs AI text vs augmented reality) and value co-creation. There is no interaction effect of co-brand fit (high vs low) and source endorsement (doctor vs government) on the relationship between media richness and perceived authenticity, whereas injunctive norms (high vs low) strengthen this relationship.

The finding provides insights for marketing managers on engaging young customers suffering from app fatigue. Authenticity holds the key to young customers’ technological perceptions.

This research highlights the importance of perceived authenticity in encouraging young customers to co-create value. Young customers consider authenticity as a motivational force experience that involves customers through the app’s attributes (e.g. media richness) and social standards (e.g. norms), rather than brand factors (e.g. co-brand fit, source endorsement).

Despite the fact that fit positively influences customers’ attitudes toward companies, previous research reveals differing roles of fit in the domain of corporate social responsibility (CSR) based on criteria and degree. Because the impact of fit between customers and service companies in the domain of CSR remains unclear in the hospitality context, this study aims to examine the effects of different CSR types on customer–CSR fit, attitude and behavioral intentions in hospitality settings.

A total of 219 usable hotel customer responses were collected and analyzed using SmartPLS software.

Results show that companies’ demonstration of CSR toward social/nonsocial stakeholders is most effective for increasing perceived fit by customers, followed by CSR toward employees and toward customers. Also, this study identifies perceived fit as an indicator of customers’ positive attitudes and revisit intentions. This study enhances our understanding of relationships among three dimensions of CSR activities and customers’ responses.

This study provides guidelines with which hospitality companies can create sustainable growth by engaging the welfare of communities, employees and customers.

Technology and market pressures are encouraging localized and small-series production in customer-driven industries. The purpose of this paper is to explore and understand the supply chain-, product- and process-design factors for small-series production in EU’s textile and apparel industry, to understand configuration decisions, priorities and challenges.

An interview study was undertaken with ten companies that represent diverse small-series production models and value chain roles. Interview data was analysed to identify supply network configuration characteristics, decision priorities and challenges.

Three small-series production models emerged from the analysis, differing with respect to adoption of process postponement and customization. The findings confirm and extend past research regarding diverse decision priorities and product, process, supply chain structure/relationship configurations. Challenges identified relate to planning (priorities) and implementation (configuration). Whereas competence availability and digital technology challenges are common, several difficulties are linked to production model like tensions related to priorities and small volumes, which are not found with customization.

Future research can make comparisons with other industry and location contexts; adopt dynamic approaches to distinguish between design and reconfiguration processes; and address indicated paradoxical-tensions.

The study findings can provide guidance for companies regarding identification of priorities and management of (planning/implementation) challenges impacting small-series production in T&A.

The paper brings a configuration perspective at the supply chain level to the problem of small-series production implementation, which demands holistic and context-specific understanding.

This study identifies factors affecting brand building for academic libraries affiliated with the Ministry of Science, Research and Technology (MSRT) in Iran.

This research applied the grounded theory method based on the three open, axial and selective coding steps (Strauss and Corbin, 1998). The research tool was interviews conducted with 20 experts in librarianship, marketing and branding.

Library building architecture, library information resources and services, librarians' branding, marketing activities and library management are the causal conditions affecting brand building. The national economic situation, the digital publishing situation in the country and different characteristics of the new library community are the intervening conditions affecting brand building. The role of other libraries in society in the scientific education of the new generation provides contextual conditions for brand building. The higher education system and the library parent organization play a part in the operative actions/interactions for brand building. The consequences of brand building are brand image development, brand excellence and brand behavioral loyalty for libraries. Library brand identity is also a core category in brand building.

Facing steep challenges by emergent services, academic libraries are ill-prepared to meet the needs of the new information society solely with traditional services and functions. Academic libraries are required to rebrand themselves to be more successful at delivering a strong performance within a changing information environment by enhancing their brand image and establishing a more effective relationship with users.

The purpose of this research is to conduct a theoretical prediction study exploring the effectiveness of different content marketing strategies in expanding the second-hand market for fashion brands, comparing the costs and risks involved in these strategies in practice.

First, the expert interview method is employed to extract the content marketing strategies of the fashion second-hand market. Then, a descriptive space that is able to identify various fashion brand images is established. Then, experts' perceptions of the relationships between content marketing strategies and fashion brand image dimensions are obtained through a subjective evaluation procedure. Data of semantic evaluation were quantified and analyzed using the fuzzy logic method.

When fashion brands expand to the second-hand market, they not only need to focus on improving the individual differentiation of products but also give priority to the quality of products and services and the overall customer experience. Exploring the “social impact strategy” will become an important direction for the development of fashion brands in the future.

The research methodology employed herein exhibits a noteworthy degree of novelty. This study introduces a pioneering theoretical prediction approach utilizing fuzzy logic, marking the inaugural exploration of this emerging and captivating dimension within the context of the study. Simultaneously, the study provides comparative results among content marketing strategies for expanding the fashion second-hand market, offering guidance for market expansion.