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The study estimates the willingness to pay for organic oranges and identifies its influencing factors among consumers in the Mekong Delta, Vietnam.

The study used survey data from 413 households in the Mekong Delta from March 2022 to July 2022. The choice experiment (CE) and contingent valuation method (CVM) were employed to analyze consumers’ willingness to pay (WTP). STATA 17 software was used to analyze research data in the logit model and mixed logit model.

The research results from the CVM approach show that a number of demographic characteristics have a direct impact on WTP, such as education, educational attainment, family size, the presence of children and the elderly in the household, food safety and environmental awareness. The CE model shows product attributes that influence consumers’ WTP, such as country of origin, traceability, quality grade, organic certification, ecolabel and organic content. Both approaches show that price is the main barrier to organic orange consumption.

The study surveyed four large cities in four provinces representing the Mekong Delta region.

Our study helps administrators have a deeper insight into consumer preferences and behavior, specifically the factors that affect consumers' WTP, an important indicator of demand for the success of manufacturers and marketers in developing as well as improving marketing strategies. Knowledge of a product’s WTP on behalf of (potential) customers plays an important role in many areas of marketing management, such as pricing decisions or new product development.

Furthermore, this understanding will inform policymakers about the future of agricultural markets in Vietnam and help them better prepare for the making of sustainable agricultural policies. Develop organic agriculture to both protect human health, protect the living environment and protect the soil from degradation, ensuring sustainable agricultural production. This is also one of the measures to help people stay away from diseases to limit the social burden.

The study confirms that both CVM and CE models can be used to estimate WTP. However, CVM fits the overall WTP estimate, while CE is more appropriate when estimating WTP for individual scenarios through combining attributes with different levels.

In the era of digital intelligence, individuals are increasingly interacting with digital information in their daily lives and work, and a growing phenomenon known as digital hoarding is becoming more prevalent. Prior research suggests that humanities researchers have unique and longstanding information interaction and management practices in the digital scholarship context. This study therefore aims to understand how digital hoarding manifests in humanities researchers’ behavior, identify the influencing factors associated with it, and explore how they perceive and respond to digital hoarding behavior.

Qualitative research methods enable us to acquire a rich insight and nuanced understanding of digital hoarding practices. In this study, semi-structured interviews were conducted with 20 humanities researchers who were pre-screened for a high propensity for digital hoarding. Thematic analyses were then used to analyze the interview data.

Three main characteristics of digital hoarding were identified. Further, the research paradigm, digital affordance, and personality traits and habits, collectively influencing the emergence and development of digital hoarding behaviors, were examined. The subtle influence of traditional Chinese culture was encountered. Interestingly, this study found that humanists perceive digital hoarding as a positive expectation (associated with inspiration, aesthetic pursuit, and uncertainty avoidance). Meanwhile, humanists' problematic perception of this behavior is more widely observed — they experience what we conceptualize as an “expectation-perception” gap. Three specific information behaviors related to avoidance were identified as aggravating factors for digital hoarding.

The findings deepen the understanding of digital hoarding behaviors and personal information management among humanities researchers within the LIS field, and implications for humanities researchers, digital scholarship service providers, and digital tool developers are discussed.

This study proposes a novel method utilising a speech-word pair bipartite network to examine the correlation structure between members of parliament (MPs) in the context of the UK- China relationship.

We construct MP-word pair bipartite networks based on the co-occurrence relationship between MPs and words in their speech content. These networks are then mapped into monopartite MPs correlation networks. Additionally, the study calculates correlation network indicators and identifies MP communities and factions to determine the characteristics of MPs and their interrelation in the UK-China relationship. This includes insights into the distribution of key MPs, their correlation structure and the evolution and development trends of MP factions.

Analysis of the parliamentary speeches on China-related affairs in the British Parliament from 2011 to 2020 reveals that the distribution and interrelationship of MPs engaged in UK-China affairs are centralised and discrete, with a few core MPs playing an integral role in the UK-China relationship. Among them, MPs such as Lord Ahmad of Wimbledon, David Cameron, Lord Hunt of Chesterton and Lord Howell of Guildford formed factions with significant differences; however, the continuity of their evolution exhibits unstableness. The core MP factions, such as those led by Lord Ahmad of Wimbledon and David Cameron, have achieved a level of maturity and exert significant influence.

The research has several limitations that warrant acknowledgement. First, we mapped the MP-word pair bipartite network into the MP correlation network for analysis without directly analysing the structure of MPs based on the bipartite network. In future studies, we aim to explore various types of analysis based on the proposed bipartite networks to provide more comprehensive and accurate references for studying UK-China relations. In addition, we seek to incorporate semantic-level analyses, such as sentiment analysis of MPs, into the MP-word -pair bipartite networks for in-depth analysis. Second, the interpretations of MP structures in the UK-China relationship in this study are limited. Consequently, expertise in UK-China relations should be incorporated to enhance the study and provide more practical recommendations.

Firstly, the findings can contribute to an objective understanding of the characteristics and connotations of UK-China relations, thereby informing adjustments of focus accordingly. The identification of the main factions in the UK-China relationship emphasises the imperative for governments to pay greater attention to these MPs’ speeches and social relationships. Secondly, examining the evolution and development of MP factions aids in identifying a country’s diplomatic focus during different periods. This can assist governments in responding promptly to relevant issues and contribute to the formulation of effective foreign policies.

First, this study expands the research methodology of parliamentary debates analysis in previous studies. To the best of our knowledge, we are the first to study the UK-China relationship through the MP-word-pair bipartite network. This outcome inspires future researchers to apply various knowledge networks in the LIS field to elucidate deeper characteristics and connotations of UK-China relations. Second, this study provides a novel perspective for UK-China relationship analysis, which deepens the research object from keywords to MPs. This finding may offer important implications for researchers to further study the role of MPs in the UK-China relationship.

This study proposes a novel scheme for analysing the correlation structure between MPs based on bipartite networks. This approach offers insights into the development and evolving dynamics of MPs.

We aim to ascertain whether and how an individual’s social comparison affects their self-gifting motivations (SGMs).

We survey a North American sample comprising 619 Canadian and US respondents. We apply partial least squares structural equation modeling (PLS-SEM) to examine relationships between social comparison, attachment orientation, parenthood, and self-gifting motivations.

We find that social comparison positively impacts self-gifting motivations. Additionally, we find that attachment orientation and parenthood can moderate social comparison’s impact on positively valenced SGMs and negatively valenced SGMs, respectively.

We elevate and expand existing scholarship on consumers’ self-gifting. Through the current study, we contribute new, empirical evidence illuminating how individuals’ attachment orientation (i.e. secure v. insecure) and parenthood status (i.e. parent v. non-parent) serve as agency-oriented moderators to temper social comparison’s influences on SGMs.

This paper aims to explore how social procurement (SP)-related capabilities might be developed within public authorities.

The paper utilizes qualitative research, based upon an inductive research design. This leads to a model to inform future research and practice.

Within the context of a “disconnected and nascent institutional field of practice” (Loosemore et al., 2023), the research generated rich data illustrating how certain English public authorities have developed relatively mature SP capabilities and applied them within the procurement process. The former included the appointment of “champions”; the founding of groups/units; training using webinars, online resources and case studies; “toolkits”, including policy documents, process guidance and measurement tools and networking. The latter included consultation with social value recipients and close engagement with both internal stakeholders and suppliers. The research also revealed the internal political skills of “champions”, as SP challenges incumbent logics regarding procurement objectives and practices.

First, the paper provides a potential roadmap for organisational capability development. Second, the research makes clear that public authorities should not seek to reinvent the capability wheel. Engagement with peers, advisory bodies, established “toolkits”, etc. is imperative, with much expertise publicly available. Third, it also suggests that smaller public authorities might seek to act as part of a consortium rather than go it alone, given the investment required for effective SP. Fourth, the research showed that practitioners need to understand SP as not simply a development challenge but also a political one.

The paper contributes to the literature by analysing SP from the largely overlooked resource-based perspective, by providing rich data on buy-side practice, by usefully adding to the literature's emerging “practice theme” and by offering guidance to buy-side managers within public authorities.

The purpose of this study was to make sense of the individual perspectives of former undergraduate student mentors from science, technology, engineering, and mathematics (STEM) fields who took part in an after-school STEM mentoring program. The study examined the following research questions: (1) How do former undergraduate student STEM mentors interpret and give meaning to their after-school STEM mentoring experiences? (2) In what way can an after-school STEM mentoring experience lead to a deeper understanding of the long-term implications of a STEM mentorship program?

The sample comprised 21 former undergraduate STEM mentors. The study was guided by the methods of content analysis and repertory grid (RepGrid), with data collected via highly structured interviews. Eight elements were pre-selected for the RepGrid to elicit constructs from participants. These include (1) mentoring, (2) teaching, (3) research, (4) career, (5) workforce, (6) Nebraska STEM for you (NE STEM 4U), (7) networking, and (8) communication. The researcher employed content analysis for cross-case analysis and used interpretative clustering to analyze nuanced similarities and differences among participants. Personal construct theory was used to understand how former STEM mentors made sense of their experiences.

The results highlight the diversity of viewpoints among participants, as well as their connections to various career paths, communication strategies, and mentorship styles. These insights contribute to a deeper understanding of how STEM mentorship experiences can be tailored to the experiences of mentees. The study stresses the significance of clear communication in STEM and advises professionals to avoid excessive technical jargon to convey complex ideas. Overall, the study provides valuable insights into the motivations, perspectives, and benefits of former undergraduate mentors. Ultimately, recognizing how these factors impact STEM mentoring programs is vital for the long-term success and advancement of the STEM pipeline.

The study has several limitations, including the inclusion of participants lacking knowledge or experience with the eight elements used in the RepGrids. While participants had completed a bachelor’s degree in a STEM field, not all had pursued advanced schooling or careers that required knowledge or implementation of research.

Findings underscore the importance of acknowledging the diverse career paths within STEM fields to understand participants’ perspectives toward mentorship. Considering the incorporation of STEM mentorship within regular school hours and making it a graduation prerequisite could enhance student participation and advancement. Integrating STEM outreach programs into higher education curricula could facilitate the development of essential professional skills (e.g. critical thinking, problem-solving) among STEM undergraduate students. These implications highlight the importance of diverse mentorship styles and professional skills to foster a more inclusive STEM workforce.

The study focused on the individual perspectives of participants rather than employing a thematic analysis.