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The study aims to investigate consumer preferences across 25 attributes of plant-based milk (PBM) products and examine the key predictors and underlying mechanisms of consumer purchase decisions of PBM alternatives.

This study employed a multidimensional approach to investigate consumer preferences and the determinants of PBM purchasing decisions. Drawing on data from 819 online surveys conducted in the Jing-Jin-Ji region of China in 2021, we measured consumer preferences across 25 specific attributes and other individual characteristics. Purchasing decisions were framed as a two-stage process – the decision to purchase (frequency) and the decision on how much to pay (WTP). The Least Absolute Shrinkage and Selection Operator (LASSO) model was utilized to examine these dimensions separately, and the selected predictors were incorporated into OLS linear and Heckman’s two-stage regression analyses to establish the underlying mechanisms.

The findings indicate that consumers exhibit a strong preference for freshness and the absence of spoilage, followed by taste experiences such as taste and aroma. Preferences for milk preservation significantly increase the purchase frequency of PBM, while preference for calorie content has a negative and significant impact. Preferences for milk preservation, aroma and processing methods can also significantly increase WTP. Preferences vary across PBM categories. Social influence, knowledge and advertising exposure positively impact purchase frequency and WTP. Consumers with low food neophobia tend to be more responsive to product-related factors, such as freshness, calorie content and processing methods, in their purchase decisions.

This study contributes to the extant literature by comprehensively examining the determinants of consumer purchase decisions for PBM alternatives. The findings provide practical implications for marketers and policymakers, highlighting the strategic product attributes, consumer segments and marketing levers that can effectively target and cater to consumer preferences for PBM alternatives.

The timeliness and quality of information provided to board members are crucial for them to effectively monitor and advise a firm. This study examines the influence of board composition and structure on (1) the board’s actions to mitigate the information asymmetry problem by implementing enterprise information systems (EIS) and (2) the board of directors’ awareness of information asymmetry, their perception of its causes and their efforts to address it.

Our research employs a mixed-methods approach. First, using data from 115 publicly listed Chinese companies, we empirically assess the likelihood of top-level EIS modules adoption at the firm level. Subsequently, through 23 semi-structured interviews, we aim to gain deeper insights into the behavioral motivations behind directors’ attempts to reduce information asymmetry.

The study reveals that boards with a higher number of independent directors or with a strategy committee – indicative of a greater concern regarding information asymmetry problems – are more inclined to adopt top-level EIS modules. Additionally, we identify three primary sources of information asymmetry that directors consider significant in prompting the adoption of top-level EIS modules to alleviate perceived information asymmetry.

This study contributes to both the corporate governance and information systems literature. The implementation and utilization of EIS at the board level have not been extensively explored previously. Moreover, while the issue of information asymmetry at the board level is recognized as a critical governance challenge, the ways in which directors perceive and address this issue remain largely unknown. Our research seeks to illuminate this relatively less-explored area.

Drawing on sustainable career theory as a framework, our study aims to explore how Asian international students studying in a UK-based University Business School view their employability, career aspirations, and career resources.

A total of 128 participants provided 602 voice-recorded reflective diary insights over six weeks while studying a mandatory employability module in a postgraduate Master’s programme at a UK-based Russell Group University Business School. The reflective diary insights addressed employability (weeks 1 and 3), aspirations (weeks 2 and 5), and career resources (weeks 4 and 6). Thematic analysis was conducted before theme and code prevalence were counted to compare changes between the two time points for each topic.

Employability includes skills, experiences and qualifications (theme 1), challenges (theme 2), and career ownership (theme 3). Aspirations include intrinsic motivators (theme 4), extrinsic motivators (theme 5), and person-organisation fit (theme 6). Career resources include people (theme 7), knowledge (theme 8) and signalling (theme 9). Time influences the interplay of person and contextual dimensions across the two timespans with different effects between and within themes.

Theoretically, our study advances the empirical validation of sustainable career theory, as well as integrating graduate employability and career development streams into higher education research. Methodologically, it underscores the underutilised potential of diary studies in the field. Practically, it offers insights for lecturers, university career advisors, and employers to holistically address the employability, aspirations, and career resources of international students.

Artificial intelligence (AI)-driven marketing has transformed the landscape of consumer interactions, but it also raises ethical concerns regarding perceived manipulation and subsequent unethical young consumer behavior. This study aims to investigate the direct and indirect effects of AI-driven marketing on unethical young consumer behavior, with digital literacy as a moderating variable. The authors introduce and conceptualize a digital literacy construct that influences how young consumers perceive and react to manipulative AI-driven marketing tactics.

Using the Elaboration Likelihood Model (ELM) and the Persuasion Knowledge Model (PKM), this research explores how digital literacy influences the reception of AI-driven marketing and moderates the effects of perceived manipulative tactics. This study adopts a three-wave, time-lagged survey method among young consumers in urban Pakistan, integrating measures of AI-driven marketing techniques, perceived manipulation, digital literacy and unethical consumer behavior.

The results reveal that perceived manipulation mediates the relationship between AI-driven marketing and unethical young consumer behavior. Digital literacy significantly moderates this effect, indicating that higher digital literacy levels can mitigate the negative impacts of perceived manipulation. Conversely, lower digital literacy amplifies the negative impacts of perceived manipulation.

The findings underscore the need for marketers to foster transparency and ethical practices in AI-driven strategies. Enhancing consumer digital literacy can serve as a protective factor against unethical marketing practices.

This study contributes to the understanding of digital literacy’s protective role against unethical AI-driven marketing practices. It extends existing models of persuasion and consumer response by demonstrating how digital literacy reshapes traditional consumer response frameworks in the context of AI-driven environments.