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This paper aims to (1) unveil how artificial intelligence (AI) can be implemented in growth-hacking strategies; and (2) identify the challenges and enabling factors associated with AI’s implementation in these strategies.

The empirical study is based on two distinct groups of analysis units. Firstly, it involves 11 companies (identified as F1 to F11 in Table 1) that employ growth-hacking principles and use AI to support their decision-making and operations. Secondly, interviews were conducted with four businesses and entrepreneurs providing consultancy services in growth and digital strategies. This approach allowed us to gain a broader view of the phenomenon. Data analysis was performed using the Gioia methodology.

The study firstly uncovers the principal benefits and applications of AI in growth hacking, such as enhanced data analysis and user behaviour insights, sales augmentation, traffic and revenue forecasting, campaign development and optimization, and customer service enhancement through chatbots. Secondly, it reveals the challenges and catalysts in AI-driven growth hacking, highlighting the crucial roles of experimentation, creativity and data collection.

This research represents the inaugural scientific investigation into AI’s role in growth-hacking strategies. It uncovers both the challenges and facilitators of AI implementation in this domain. Practically, it offers detailed insights into the operationalization of AI across various phases and aspects of growth hacking, including product-market fit, user acquisition, virality and retention.

This study proposes that reciprocity appeal may influence consumers helping behavior. The authors suggest that this influence depends on the target of reciprocity (direct vs. indirect), consumer–brand social distance (close vs. distant) and frequency of exposure to the appeal over time.

This research was conducted through three experimental studies. They were carried out both through online experiment (Study 1) and in laboratory (Studies 2 and 3). Study 3 consisted of an experiment combined with longitudinal growth models, supporting the hypothesis that repetitive periods decrease reciprocity over time.

The results demonstrate that consumers close to a brand become more prosocial toward the company when the reciprocity appeal is perceived as direct (vs. indirect). In contrast, the indirect reciprocity appeal influences consumers distant from the company. Furthermore, reciprocity appeal decreases consumer helping behavior over time, but indirect reciprocity appeal attenuates this negative effect only to close customers.

This research contributes to theory by showing that direct reciprocal appeals increase the helping behavior of close customers when company appeals are infrequently made.

This research is the first to empirically investigate the efficiency of voucher campaigns. Furthermore, it innovates by exploring a situation of direct consumer reciprocity in which the consumer decides to help a company with an expectation, but no explicit requirement, that the company will reciprocate.

Despite the online shopping trend, many women still prefer in-store experiences for trying on and buying clothes. The body positivity movement endorsed by many brands implies that all women, even those with lower body appreciation, should feel included in this setting. However, studies have yet to quantitatively explore the mediating role of women’s positive body image between clothing size and in-store experiences. To address this gap, this study examined the in-store experiences of 642 women from largely Western nations (Mage = 45.96, standard deviation (SD) = 9.31) who self-reported as straight-, mid- and plus-sizes and the mediating role of body appreciation.

Participants completed online questionnaires with measures including clothing size, body appreciation, in-store experiences and preferences for in-store changes.

Women of mid-size and plus-size were more likely than women of straight-size to report lower body appreciation, which led to a greater desire for guidance from staff about styles but less likelihood to approach them, higher discomfort going up a size and lower confidence trying on clothes. In contrast, straight-size women generally felt more comfortable and confident in-store clothes shopping. A direct link between clothing size and lower purchase intentions without in-store representation was found; however, body appreciation did not mediate this link. Preferences for in-store changes included better support from sales staff and more inclusive imagery.

This study indicates that in-store clothes shopping may not feel like retail therapy for women who identify as mid-size or plus-size and experience low body appreciation. It highlights the need for comprehensive reform within the fashion retail industry by prioritizing inclusivity through better staff support and in-store representation for all sizes.

The aim of this study is to understand how digital platforms and context-specific characteristics of China – such as swift guanxi – affect opportunities for small and medium enterprises (SMEs) entering this market.

This study adopts a qualitative approach based on a multiple-case study of Italian SMEs in the wine industry that have activated international activities in China. Primary data consist of 32 interviews with SMEs’ managers, local consumers and other stakeholders involved in firm internationalization.

The findings of this study highlight that in SMEs’ internationalization, the process of knowledge/learning on digital platforms takes place in a bidirectional way thanks to the interactions among multiple stakeholders, which activate consumer education and knowledge sharing.

While previous research has emphasized firms' knowledge acquisition in the internationalization process, this study incorporates both the consumer perspective and the firm perspective, along with considering interactions with various stakeholders.

This study aims to explore and theorize value gaps within value chain management (VCM) by extending the service quality gap model to the context of global manufacturing value chains.

Drawing upon a case study of a small, family-owned Swedish furniture wholesaler, Alpha, this research adapts the service quality gap model and integrates it into the VCM framework. The investigation examines the value creation and delivery processes across a network of actors, highlighting how various gaps emerge at different stages of the value chain.

The study identifies and describes several value gaps, including those related to consumer understanding, manufacturing capabilities and coordination across the value chain. Value creation gaps arise from poor communication about consumer needs and product features, whereas value delivery gaps are mainly tied to manufacturing capacity and material restrictions. These gaps can result in misalignment between consumer expectations and the delivered value.

Although this study provides insights into the emergence of value gaps, further research is needed to determine the magnitude and reduction strategies for these gaps. In addition, understanding how consumers evaluate new products remains a critical area for investigation.

The research highlights the significance of a coordinated approach to managing value creation and delivery processes. It underscores the need for companies to capture accurate consumer data, consider manufacturing capabilities and engage in effective coordination with various actors in the value chain.

By addressing value gaps, companies can enhance consumer satisfaction and minimize potential dissatisfaction caused by misalignment between consumer expectations and delivered value. This, in turn, can lead to improved relationships with consumers and other actors within the value chain.

This research offers a novel perspective on value gaps in VCM, extending the service quality gap model to the realm of manufacturing. It underscores the importance of managing both value creation and delivery processes for enhancing competitive advantage in a global market.

The study investigates the antecedents and consequences of digital ad avoidance in the e-commerce industry. This study aims to investigate how digital ad avoidance relates to internet usage over time, using a two-wave longitudinal research design. This study also explores how real-world advertising clutter (clutter and non-clutter) affects these relationships.

The data were collected from 192 online consumers in Türkiye, and a two-wave longitudinal research design and structural equation modeling were conducted to test the hypotheses of the conceptual model.

The results indicated that perceived goal impediment and prior negative experience had positive effects on affective avoidance in both ad-clutter and non-clutter periods. Further, affective avoidance had a significant positive effect on both cognitive and behavioral avoidance in either period. In addition, ad clutter moderated the effects of cognitive and behavioral avoidance on online purchase intention.

This research provides new evidence of the crucial role perceived goal impediment, prior negative experience and perceived control each play in driving digital ad avoidance. This paper contributes to the body of knowledge in the field by exploring how advertising clutter (both cluttered and non-cluttered settings) moderates these relationships through a two-wave longitudinal study.

While the value of stakeholder involvement in destination marketing and branding has been emphasized, little research has been conducted on the inner workings of collaborative initiatives. Based on the case of the Athens Tourism Partnership, Greece, this study aims to map the value co-creation process as it unfolds in joint destination marketing and branding initiatives.

To capture the way partners collaborated to create the brand of the city, this study collected data through participant observation and analyzed it using Classical Grounded Theory principles.

The study reveals the different types of relationships and their characteristics that develop when an airline-airport-destination authority partnership is established to enhance destination brand and the potential dynamics of the collaborative initiatives.

The FiNE framework has been developed and can guide stakeholders who wish to collaborate to co-create the destination brand. This study offers theoretical and practical implications for destination authorities and tourism stakeholders to initiate, manage and implement collaborative initiatives that may empower the destination brand and deliver win-win outcomes.

The increased digital interactions in the B2B industry have enhanced the importance of customer engagement as a measure of firm performance. This study aims to map and analyze temporal and spatial journeys for customer engagement in B2B markets from a bibliometric perspective.

The extant literature on customer engagement research in the B2B context was analyzed using bibliometric analysis. The citation analysis, keyword analysis, cluster analysis, three-field plot and bibliographic coupling were used to map the intellectual structure of customer engagement in B2B markets.

The research on customer engagement in the B2B context was studied more in western countries. The analysis suggests that customer engagement in B2B markets will take centre stage in the coming times as digital channels make it easier to track critical metrics besides other key factors. Issues like digital transformation, the use of artificial intelligence for virtual engagement, personalization, innovation and salesforce management by leveraging technology would be critical for improved B2B customer engagement.

The study provides a comprehensive reference to scholars working in this domain.

The study makes a pioneering effort to comprehensively analyze the vast corpus of literature on customer engagement in B2B markets for business insights.

This research delves into the nuanced effects of positive goal framing quantity in advertising on consumer reactions towards new products, categorizing them into incrementally new products (INPs) and really new products (RNPs). It moves beyond the traditional binary evaluation of advertising effectiveness, offering a more intricate analysis of consumer engagement based on product novelty.

Employing a comprehensive dataset encompassing 461 digital video advertisements from six leading technology-centric firms, this study employs content analysis alongside hierarchical polynomial regression to dissect the dynamics between the volume of positive goal framings and consumer engagements. This examination is contextualized within the spectrum of product innovation, offering insights into the differential consumer behaviors elicited by INPs and RNPs.

The investigation uncovers a non-linear, inverted U-shaped correlation between the volume of positive goal framings and consumer responses. This relationship exhibits variability in its intensity between INPs and RNPs, with INPs demonstrating a more pronounced response variability around a higher inflection point on the curve. This pattern underscores the complex interplay between goal framing and product novelty in shaping consumer perceptions and actions.

This study pioneers the exploration of goal framing within the realm of product advertising, shifting the analytical lens from its traditional roots in health and medicine to the intricacies of consumer behavior in response to advertising. By introducing a distinctive classification of product newness through INPs and RNPs, the research augments current understanding of effective advertising strategies, delivering profound insights for marketers and advertisers in tailoring their campaigns to align with consumer expectations and product characteristics.

Because brand addiction is one of the most intense forms of consumer–brand relationships, this type of behavior has recently attracted the attention of researchers in the field of consumer behavior management. The purpose of this paper is to investigate the antecedents and consequences of brand addiction among Iranian consumers.

This research used a cross-sectional study based on a questionnaire to collect data from a sample of 401 people in Iran. Structural equation modeling was used to test the hypotheses.

This study found that brand love and brand involvement significantly influence brand addiction. Brand addiction was also positively associated with contingent self-esteem (CSE), compulsive shopping and resilience to negative information. Additionally, the results revealed a positive and significant effect of brand involvement on brand love and a similar positive and significant effect of CSE on compulsive shopping.

By examining the antecedents and consequences of brand addiction in an Islamic country, this research offers valuable insights that can enrich the literature on brand addiction in consumer behavior and brand management.