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The purpose of this paper is to provide a new and useful formulation of relevance.

This paper is formulated as a conceptual argument. It makes the case for the utility of considering relevance to be function of use in creative processes.

There are several corollaries to formulating relevance as a function of use. These include the idea that objects by themselves cannot be relevant since use assumes interaction; the affordances of objects and how they are perceived can affect what becomes relevant but are not in themselves relevant; relevance is not an essential characteristic of objects; relevance is transient; potential relevance (what might be relevant in the future) can be distinguished from what is relevant in use and from what has been relevant in the past.

The paper shows that its new formulation of relevance brings improved conceptual and terminological clarity to the discourse about relevance in information science. It demonstrates that how relevance is articulated conceptually is important as its conceptualization can affect the ways that users are able to make use of information systems and, by extension, how information systems can facilitate or disable the co-production of creative outcomes. The paper also usefully expands investigative opportunities by suggesting relevance and creativity are interrelated.

To the best of the author’s knowledge, the author conducts the first detailed review on the impact of ownership variables on corporate tax avoidance, based on 69 archival studies over the two last decades.

Referring to an agency-theoretical framework, the author differentiates between six categories of ownership (institutional, state, family, foreign, managerial and cross-ownership/ownership concentration). The author also includes research on ownership proxies as moderators of other determinants of tax avoidance.

The review indicates that most research refers to institutional, state and family ownership. Moreover, except for state ownership, no clear tendencies on the impact of included ownership types can be found in line with the author’s agency-theoretical framework.

Regarding research recommendations, among others, the author stresses the urgent need for recognizing heterogeneity within and interactions between ownership proxies. Researchers should also properly address endogeneity concerns by advanced econometric models (e.g. by the difference-in-difference approach).

As international standard setters have implemented massive reform initiatives on both tax avoidance and corporate governance, this literature review underlines the huge interaction between those topics. Firms should carefully analyze their ownership structure and change their tax planning due to owners' individual tax preferences.

This analysis makes useful contributions to prior research by focusing on six categories of ownership and their impact on tax avoidance in (multinational) firms and moderating effects. The author provides a detailed overview about current archival research and likes to guide researchers to focus on ownership heterogeneity and endogeneity concerns.

The main aim of this paper is to provide a living tribute of lived expert by experience and researcher Andrew Voyce.

Andrew provided the author with a list of names of people he might approach to write a tribute on his behalf.

The accounts describe the influence that Andrew has had both as an educator and as a trusted colleague for the people approached.

In many ways, the voices of people with mental health problems have been marginalised. Few mental health journals, with only some exceptions, encourage lived experience contributions.

The mental health agenda continues to be dominated by professional groups. The remarkable individuals who continually battle with serious mental illness are often lost in official discourses.

Despite the fact that the topic of mental health is now much more in the public domain, research tells us that the most effective anti-stigma strategy is contact with sufferers.

The archivist Dr Anna Sexton co-produced one of the few mental health archives that only featured people with lived experience. Andrew was one of the four people featured in it. This account “showcases” the work of this remarkable man.

The role of customers has moved from reactive to proactive, and they require more control over digital touchpoints. The quest for authenticity is their response to the dark side of interactive marketing – forms of faking, manipulation and exploitation. Authenticity becomes a key topic in interactive marketing as it reflects how customers assess digital touchpoints. However, there is a lack of comprehensive knowledge of authenticity in the interactive environment.

This article consolidates the authenticity studies in various digital touchpoints using the entity-referent correspondence framework. This research employs bibliometric analysis and thematic analysis of 103 articles in the last 15 years.

Five research clusters are identified: (1) human, (2) brand-generated content, (3) user-generated content, (4) branded platforms and (5) new technologies-based touchpoints (artificial intelligence, augmented reality and virtual reality). Most interactive marketing studies focus on human and content authenticity, and new technologies-based touchpoints lack comprehensive conceptualization. The review synthesizes the types of authenticity used in each touchpoint and highlights the importance of true-to-creator-self and true-to-customer-self in customer evaluation. We further propose a research framework with four antecedent groups and outcomes.

Our research supports managers by highlighting the type of authenticity prioritized in each touchpoint's development.

To answer the call from interactive marketing researchers, this research highlights the distinct definitions of authenticity at various digital touchpoints rather than looking at the overall brand. Trends, gaps and future research agenda of the authenticity concept in technology adoption and customer behavior are discussed.

The aim of this article is to map the use of AI in the user experience (UX) design process. Disrupting the UX process by introducing novel digital tools such as artificial intelligence (AI) has the potential to improve efficiency and accuracy, while creating more innovative and creative solutions. Thus, understanding how AI can be leveraged for UX has important research and practical implications.

This article builds on a systematic literature review approach and aims to understand how AI is used in UX design today, as well as uncover some prominent themes for future research. Through a process of selection and filtering, 46 research articles are analysed, with findings synthesized based on a user-centred design and development process.

The authors’ analysis shows how AI is leveraged in the UX design process at different key areas. Namely, these include understanding the context of use, uncovering user requirements, aiding solution design, and evaluating design, and for assisting development of solutions. The authors also highlight the ways in which AI is changing the UX design process through illustrative examples.

While there is increased interest in the use of AI in organizations, there is still limited work on how AI can be introduced into processes that depend heavily on human creativity and input. Thus, the authors show the ways in which AI can enhance such activities and assume tasks that have been typically performed by humans.

The recent pandemic disrupted the way in which businesses transact with each other. In response to maintaining cleanliness in business-to-business (B2B) settings, artificial intelligence (AI)-enabled robots have been adopted as substitutes for cleaning personnel, yet their implications remain largely underexamined. This study aims to examine B2B buyer responses to cleaning information notices (human vs AI-enabled agent) placed at either the entry to the premises or the sales counter, thereby adding to the nascent literature in this line of inquiry.

Three field experiments were conducted across diverse B2B businesses (wholesalers in Studies 1–2 and a commercial business in Study 3). To achieve greater empirical rigor and generalizability, this research used diverse stimuli across different B2B settings. In addition, the results ruled out alternate explanations and shed light upon political ideology as a boundary condition. Finally, a single-paper meta-analysis confirmed H1, consolidating the established effect.

Featuring over 1,000 B2B buyers, the results show that politically liberal B2B buyers express greater preference for human over AI-performed cleaning while labor-orientated buyers are indifferent. Importantly, this effect is driven by greater relaxation associated with humans, which in turn, increases their future patronage and referral intent.

The results enrich the collective knowledge of the adoption of AI-enabled robots, reinforcing for marketing practitioners and businesses that the reliance on human-based outcomes remains a preferred touchpoint in B2B settings, particularly for liberals.

The study aims to identify the determinants of customer satisfaction in the electronic commerce (e-commerce) industry in Bangladesh. It also investigates whether acceptance of IT innovation mediates the relationship between the determinants of e-commerce and customer satisfaction.

A survey questionnaire had been designed and distributed among the customers of e-commerce businesses. Data were collected from 408 respondents, who were mostly from urban areas of the country. The collected data had been analysed with the application of the partial least square approach using SmartPLS4. First, the measurement model was applied to determine the validity and reliability of the dataset. Then, the structural model was utilized to justify the hypothesis.

The results showed that customer service, perceived ease of use and customer trust in e-commerce services have a significant positive impact on customer satisfaction. The acceptance of IT innovation, which showed a positive influence on customer satisfaction, enhanced customer satisfaction when accompanied by perceived ease of use and digital literacy.

The results would have valuable insight for the e-commerce business in designing their products and services and taking policies to achieve long-term customer loyalty.

This is the first study that incorporates IT innovation acceptance as a mediating variable. Although a number of factors have been identified as the determinants of customer satisfaction, the specific mechanism of IT innovation acceptance as a mediator between predictors and customer satisfaction is unique in this study.

The study, grounded on the social cognitive career theory, seeks to analyze the upshot of psychological empowerment on career satisfaction via affective commitment. The study also aims to examine the impact of the interplay among affective commitment and resilience on the career satisfaction of Indian service industry professionals.

In this study, the data has been collected from 277 employees using standardized measures from the North Indian service industry. To test the proposed model, Analysis of Moment Structures (AMOS) (Hayes, 2013) was utilized.

The outcomes of the study offered substantial support for the theorized link between psychological empowerment, affective commitment, resilience and career satisfaction. The outcomes confirmed an affirmative association concerning psychological empowerment and career satisfaction through affective commitment as a mediator and resilience as a moderator. The study concludes that the workforce with extraordinary resilience will perceive a stronger influence of psychological empowerment on career satisfaction.

The study offers a few pertinent inputs for the organizations operating in high-power distance culture to comprehend the role of psychological empowerment and “resilient attributes” of personality in developing a sense of career satisfaction amongst Indian service sector employees.

The present research examines the association between psychological empowerment, affective commitment, resilience and career satisfaction for the first time as mediated moderation model and the same has neither been examined theoretically or empirically.

The purpose of the study is to investigate the effect of terminal and instrumental values on the attitude and brand desirability for upcycled luxury designer facemasks, in relation with generic luxury designer facemasks.

A quantitative approach was adopted in this study, and data were collected via an online consumer panel from 390 existing Australian luxury consumers, aged 18 and above. Stimuli that represented the two upcycling conditions (remnants and past collections) and a control condition (generic product) from an actual Burberry-branded facemask were designed for the study. The collected data were analysed using the least partial square and multi-group analysis of the structural equation model

The findings indicate that consumers do not perceive Burberry facemasks made from upcycled remnant materials and previous collections have superior aesthetic or self-expressive benefits to them when compared to the generic Burberry masks. In the same vein, both upcycled categories do not provide superior instrumental values through economic benefits or safety when compared to the generic Burberry masks. Hence, terminal and instrumental values had no influence on the attitude and brand desirability for upcycled luxury designer facemasks, in relation with generic luxury designer facemasks.

The results indicate that strategies will have to be better designed to have a balance between safety features (as opposed to fashion) and luxury desirability of the brand to better capture the market for difference consumer values for the facemasks. As this is a relatively low involvement product, the pricing strategies must be re-evaluated.

This study offers empirical support for the proposition that different upcycling methods in the name of sustainable practices may have different functions for different consumer values in luxury marketing implementations. For the choice of facemasks during the COVID-19 pandemic, it provides empirical evidence for consumer choice for the different types and how it can be used to elevate luxury brand desirability.

The purpose of this paper is to guide commercial and policy action to improve smallholder Indonesian cattle systems.

A survey (n = 304) of smallholder cattle farms in six villages in two districts of Nusa Tenggara Barat, Indonesia. Principal component analysis (PCA) and cluster analysis (CA) were employed to classify cattle farms into business models according to observed innovation. Differences between business models were identified using a one-way-analysis-of-variance (ANOVA).

Four business models were identified, representing profiles of innovation adoption and elements of business models, socio-economic characteristics, farming system and performance variables including revenue, cost and profit. The business models display a range of orientation to buyer requirements and a range of approaches to production, indicating a need to promote in a variety of ways the change from supply-push to demand-pull in the cattle value chain.

This study offers guidance on how business models might be strengthened over time, by using simple indicators of performance and the models' linkage to innovation in the context of each business model. The business models developed here, and refinements to them based on localised conditions, offer a targeted and accelerated pathway to improved performance in smallholder systems.

This study proposed a novel approach to the recognition of business models based on innovation.