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This study aims to determine and analyze the predictors of food waste reduction intention and behavior among higher education institutions (HEIs) using an extended version of the theory of planned behavior (TPB).

This study empirically tested an extended TPB model through regression analyses using data obtained through an online survey.

Attitude toward food waste reduction, subjective norms, perceived behavioral control and food waste knowledge predicted intention to reduce food waste. Furthermore, the intention to reduce food waste predicted food waste reduction behavior.

The results imply that extending the TPB by adding food waste knowledge significantly predicted food waste reduction intention and behavior.

The study identified factors that predict food waste reduction behavior and suggested ways to influence Filipino students in HEIs to reduce food waste.

The findings support the inclusion of food waste knowledge to the TPB in predicting food waste reduction intention and behavior among students in HEIs.

This study aims to investigate the relationship between feminine gender identity and leadership intention. Based on the theory of planned behavior and social role theory, the indirect relationship between feminine gender identity and leadership intention was analyzed through affective motivation to lead and perceived leadership self-efficacy. In addition, drawing on the person–environment fit theory, feminine gender identity was examined as a moderator of the relationship between cooperative organizational culture and leadership intention.

A cross-sectional survey was administered among a sample of 183 full-time employees.

Results demonstrated that controlling for sex, perceived leadership self-efficacy mediated the relationship between feminine gender role identity and leadership intention. In addition, feminine gender role identity acted as a moderator in strengthening the relationship between cooperative organizational culture and leadership intention such that highly feminine individuals in high cooperative organizational cultures showed higher intentions to become leaders than did individuals with less feminine identities.

In research on leadership intentions, it will be important to measure both sex and gender, as gender identity explains variance in important outcomes over and above sex. In addition, beginning to include organizational characteristics (such as perception of culture) in this stream of research is important.

Organizations wishing to promote more feminine individuals to leadership roles should examine their organizational culture to determine if it is cooperative, as this type of culture allows these individuals to be more intent on seeking leadership roles.

This research adds up to the literature by looking at an organizational factor, culture, and analyzing its role in increasing leadership intention in highly feminine individuals. In addition, by studying gender while controlling for sex, this paper suggests that regardless of sex (being a female or a male), feminine individuals will benefit from a cooperative environment. This includes any individuals (females and males) that identify more with communal behaviors.

The paper addresses the privacy–personalisation paradox in the post-GDPR-2018 era. As the regulation came in a bid to regulate the collection and use of personal data, its implications remain underexplored. The research question is: How do consumers perceive the matter of personal data collection for the use of highly targeted and personalised ads post-GDPR-2018? The invasion of privacy vs the benefits of highly personalised digital marketing.

To address the research question, this qualitative study conducts semi-structured interviews with 14 individuals, consisting of average users and digital experts.

This paper reports on increasing consumer vulnerability post-GDPR-2018 due to increased awareness of personal data collection yet incessant lack of control, particularly regarding the repercussions of the digital footprint. The privacy paradox remains an issue except among experts, and personalisation remains necessary, yet critical challenges arise (e.g. filter bubbles and intrusion).

Policy implications include education, regulating consent platforms and encouraging consensual sharing of personal data.

While the privacy–personalisation paradox has been widely studied, the impact of GDPR-2018 has rarely been addressed in the literature. GDPR-2018 has seemingly had little impact on instilling a sense of security for consumers; if anything, this paper highlights greater concerns for privacy as users sign away their rights on consent forms to access websites, thus contributing novel insights to this area of research.

As Australians experience more fierce and frequent natural disasters, there are urgent calls for businesses to meaningfully respond to climate change. Australian financial and professional services employees occupy an ambiguous space as climate mitigation measures have different economic implications for their clients. The purpose of this paper is to investigate how Australian professionals experience climate change and respond to the issue within their workplace.

This mixed methods study applies a systems thinking framework to investigate: how do professionals’ experiences of the issue of climate change and the workplace influence their cognitions, emotions and behaviour? And in particular, what psychosocial antecedents precede voicing climate concern?

Firstly, a survey of professionals (N = 206) found social norms, perceived behavioural control and biospheric values, but not attitudes, significantly predicted prohibitive green voice. Middle managers were significantly likely to voice climate concern, whereas senior managers were significantly likely to express climate scepticism. Ten professionals were then interviewed to gain a contextualised understanding of these trends. Interpretive phenomenological analysis identified five interrelated themes: (1) active identity management, (2) understanding climate change is escalating, (3) workplace shapes climate change response, (4) frustration and alienation and (5) belief that corporations prioritise profit.

Findings are discussed in relation to how employees may both embody and adapt their organisations. These results have implications for understandings of workplace meaningfulness and organisational risk governance.

This paper focuses on image-to-text manuscript processing through Handwritten Text Recognition (HTR), a Machine Learning (ML) approach enabled by Artificial Intelligence (AI). With HTR now achieving high levels of accuracy, we consider its potential impact on our near-future information environment and knowledge of the past.

In undertaking a more constructivist analysis, we identified gaps in the current literature through a Grounded Theory Method (GTM). This guided an iterative process of concept mapping through writing sprints in workshop settings. We identified, explored and confirmed themes through group discussion and a further interrogation of relevant literature, until reaching saturation.

Catalogued as part of our GTM, 120 published texts underpin this paper. We found that HTR facilitates accurate transcription and dataset cleaning, while facilitating access to a variety of historical material. HTR contributes to a virtuous cycle of dataset production and can inform the development of online cataloguing. However, current limitations include dependency on digitisation pipelines, potential archival history omission and entrenchment of bias. We also cite near-future HTR considerations. These include encouraging open access, integrating advanced AI processes and metadata extraction; legal and moral issues surrounding copyright and data ethics; crediting individuals’ transcription contributions and HTR’s environmental costs.

Our research produces a set of best practice recommendations for researchers, data providers and memory institutions, surrounding HTR use. This forms an initial, though not comprehensive, blueprint for directing future HTR research. In pursuing this, the narrative that HTR’s speed and efficiency will simply transform scholarship in archives is deconstructed.