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58 result(s) for "personal identity attributes"
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The Role of Personal Identity Attributes in Transport Mode Choice: The Case Study of Thessaloniki, Greece
People make numerous trips every day for a variety of purposes. Transport mode choice directly impacts travel time, congestion, and environmental conditions. It also depends on various economic, social, environmental, and personal related factors. This paper investigates the association between identity characteristics and transport mode choices in Thessaloniki, Greece. A customized questionnaire survey was carried out with 506 individuals in 2019 to collect data on nine self-declared personal statuses (affiliation with environment, place of residence, career, companionship, etc.) and trip frequencies of all available transport options in Thessaloniki. We ran latent class analyses to uncover three identity clusters. The Active individuals prefer public transport over private car, and they are mostly young, sporty, and with low incomes. Additionally, the Family-Oriented individuals are comparatively older, and they have greater access to private cars and higher incomes, while the Typical Urban population exhibits a slightly higher use of cars and public transport than the Active one. Trips on foot and by car (as passengers) are equally preferred by all latent classes’ populations. Our findings highlight the role of individuals’ identities in the development of travel behavior and may assist with the design of targeted policies and marketing strategies, which will facilitate sustainable urban mobility behaviors.
Green hotel adoption: a personal choice or social pressure?
Purpose This study aims to examine the potential guest perception of green hotel attributes (GHAs) and the underlying mechanism through which GHA perception influences attitude toward green hotels, intention to stay at green hotels and willingness to pay a premium. It also investigates the moderating roles of personal norms and social norms in the influence of GHA perception on identification and trust toward green hotels. Design/methodology/approach A two-stage survey was used to collect data via Prolific Academic. The authors tested the hypotheses on 521 valid responses using the partial least squares method. Findings The results show that identification and trust mediate the effect of GHA perception on attitude, intention to stay and willingness to pay a premium for green hotels. The authors found a positive interaction effect between GHA perception and personal norms on identification and trust and a negative interaction effect between social norms and GHA perception on trust. The interaction effect of GHA perception and social norms on identification is not significant. Originality/value This study presents an integrated framework for green hotel adoption by examining the potential guest perception of GHAs and explores how it fosters positive guest responses. Findings show that GHA perception positively influences potential guest responses through identification (the personal route) and trust (the social route). This study also simultaneously considers personal norms and social norms, together with the effects of their interactions with GHA perception on identification and trust.
Borderline personality disorder symptom networks across adolescent and adult clinical samples: examining symptom centrality and replicability
Numerous theories posit different core features to borderline personality disorder (BPD). Recent advances in network analysis provide a method of examining the relative centrality of BPD symptoms, as well as examine the replicability of findings across samples. Additionally, despite the increase in research supporting the validity of BPD in adolescents, clinicians are reluctant to diagnose BPD in adolescents. Establishing the replicability of the syndrome across adolescents and adults informs clinical practice and research. This study examined the stability of BPD symptom networks and centrality of symptoms across samples varying in age and clinical characteristics. Cross-sectional analyses of BPD symptoms from semi-structured diagnostic interviews from the Collaborative Longitudinal Study of Personality Disorders (CLPS), the Methods to Improve Diagnostic Assessment and Service (MIDAS) study, and an adolescent clinical sample. Network attributes, including edge (partial association) strength and node (symptom) expected influence, were compared. The three networks were largely similar and strongly correlated. Affective instability and identity disturbance emerged as relatively central symptoms across the three samples, and relationship difficulties across adult networks. Differences in network attributes were more evident between networks varying both in age and in BPD symptom severity level. Findings highlight the relative importance of affective, identity, and relationship symptoms, consistent with several leading theories of BPD. The network structure of BPD symptoms appears generally replicable across multiple large samples including adolescents and adults, providing further support for the validity of the diagnosis across these developmental phases.
Towards Making an Invisible Diversity Visible: A Study of Socially Structured Barriers for Purple Collar Employees in the Workplace
Eunuchs and members of the transgender community are yet to be recognized as an effective human resource and this diversity in the workforce is still invisible. A tiny portion of the transgender community is employed, and they are tagged as purple collar employees. It is generally claimed that coworkers do not accept members of the transgender community in the workplace and are not willing to work with them due to their different personal, social, and work-related characteristics. This study aimed to investigate coworkers’ attitudes towards transgender colleagues and their willingness to work with them in the workplace. We selected the Punjab province of Pakistan as the context for the study where more than five hundred thousand members of the transgender community live. We collected data from 363 randomly selected respondents working in an organization where transgender people also worked. We applied Structural Equation Modeling (SEM) to analyze the data. Our findings revealed that coworkers do not hesitate to work with transgender people merely based on their biological differences. Coworkers’ willingness was more influenced by social attributes (trust and support) and work attributes (knowledge, ability, and motivation) irrespective of gender differences. The study strongly suggests tapping this invisible human resource and mainstreaming this resource to emancipate transgender people from poverty and to bring a productive diversity in the workforce. Government should frame policies to provide all human rights including national identity, health and educational facilities, and organizations should provide transgender people with jobs to properly utilize this untapped human resource.
Understanding the role of users’ socio-location attributes and their privacy implications on social media
Purpose The purpose of this paper is to establish reciprocity among socio-location attributes while underlining the additional users’ privacy implications on social media (SM). Design/methodology/approach Digital identity theories, social software engineering theory and the Privacy Safeguard (PriS) methodology were considered while reviewing 32 papers for identifying users’ SM attributes. After proposing interrelations among socio-location attributes, the PriS method was used to match social aspects of privacy in designing case studies to illustrate the associations through potential users’ privacy implications. Findings Eighteen users’ SM attributes were collected and correlated to the Face, Frame, Activity, Time and Stage (FFrATS) 4 W (socio-location attributes), which provoke further privacy implications due to the notions of self-determination and self-disclosure on SM. The authors draw on the PriS methodology to address privacy’s multidimensionality while creating case studies to examine privacy issues arising due to socio-location attribute disclosure and users’ trajectories and normativity lines. Research limitations/implications Supplementary case studies and research are needed to enable the design of a socio-spatially and privacy-aware designing methodology. Practical implications Designing proper methodologies and techniques to address users’ privacy implications deriving from socio-location attributes can provide designers with a technical solution to SM platforms. Social implications Socio-location attribute disclosure constructs representative SM profiles; however, the revelation of attributes and their interrelations create additional privacy implications for SM users. Originality/value Deepening the understanding of disclosing socio-location attributes on SM while bridging the socio-technical gap will provide the necessary background for proposing technical solutions to protecting users’ privacy.
Digital Influencers’ Attributes and Perceived Characterizations and Their Impact on Purchase Intentions
Research into the role of digital influencers in marketing strategies is a rapidly developing area that has attracted the interest of researchers and organizations. In recent years, organizations have become increasingly interested in using digital influencers to promote their brands and disseminate advertising messages with a high impact on their target audience. Digital influencers are beginning to be used as models for sustainable consumption behavior (for example in the fashion, food, and health sectors) by promoting environmental and sustainable values. By promoting sustainable content and disseminating messages of environmental awareness, digital influencers can help achieve the Sustainable Development Goals (SDGs). This study aims to identify the attributes (attitude homophily, physical attractiveness, and social attractiveness) and perceived characterizations (trustworthiness, perceived expertise, and parasocial relationship) of digital influencers and their impact on purchase intention among a sample of Portuguese consumers. It also aims to identify the most relevant types of digital influencers according to their areas of influence (fashion, sports, beauty, and cinema/TV/music) and their impact on purchase intention. For data collection, an online questionnaire was developed and administered to a non-probabilistic convenience sample. Only respondents who had experience purchasing a product or service after watching a YouTuber’s advertisement (screening question) or following or searching for a digital influencer could complete the questionnaire. A total of 243 valid questionnaires were received. The main findings are that the attributes and perceived characterizations of digital influencers have a positive and significant impact on purchase intention. It was also found that digital influencers can enhance shopping experience and credibility, which has a strong impact on consumers’ purchase intentions. In terms of sector, the data show that the most important influencer in the ‘Fashion’ sector is Helena Coelho, in the ‘Sports’ sector is Cristiano Ronaldo, in the ‘Beauty’ sector is Sara Sampaio, and in the ‘Music, TV, Cinema’ sector is Ricardo Araújo Pereira. This study can help companies use digital influencers more effectively in their digital marketing strategies, as credibility, experience, and parasocial relationships have a strong impact on consumers’ purchase intention.
Live, Eat, Love: life equilibrium as a driver of organic food purchase
Purpose The purpose of this paper is to disentangle the effect of life equilibrium on organic food purchase intentions through a consideration of the evaluation of intrinsic and extrinsic food quality attributes. Furthermore, the study examines the role of health consciousness in achieving life equilibrium. Design/methodology/approach The conceptual framework was developed based on previous research and tested through a quantitative study with end consumers. The hypothesized relationships were tested using structural equation modelling. Findings The results obtained from this study show that the perceived quality associated with the intrinsic attributes of organic food mediates a positive influence of life equilibrium on consumers’ organic food purchase intentions. The study also confirms that life equilibrium mediates the effects of health consciousness on the evaluation of intrinsic and extrinsic food quality attributes. Research limitations/implications The theoretical contributions of the paper lie in uncovering the complex relationships that exist among health consciousness, life equilibrium, perceived organic food quality dimensions and purchase intentions and providing new evidence showing which perceived intrinsic organic food quality dimensions are relevant in shaping consumers’ purchase intentions. Practical implications The research results suggest that organic food managers should focus on developing stronger value propositions that are based more on intrinsic food quality characteristics and less on extrinsic ones. Originality/value This study recognizes the relevance of life equilibrium as a specific consumer lifestyle form, which drives organic food consumption through extrinsic and intrinsic food quality attributes.
Multidimensional social identity and redistributive preferences: an experimental study
Social identity is embedded in social structures, generated by various social processes, and has multiple dimensions. We report findings from a laboratory experiment eliciting two-dimensional social identities: a horizontal identity determined either randomly or by preferences and a vertical identity defined by income status and determined either by luck or performance. We also vary income gaps between vertical identity groups. Participants make redistributive allocation decisions between two beneficiaries differing in identity attributes. We find robust evidence of in-group favoritism and that both the identity distance between the allocator and the in-group recipient and income gaps influence the degree of in-group favoritism.
Vulnerability of resource users in Louisiana's oyster fishery to environmental hazards
Knowledge of vulnerability provides the foundation for developing actions that minimize impacts on people while maximizing the sustainability of ecosystem goods and services. As a result, it is becoming increasingly important to determine how resource-dependent people are vulnerable to environmental hazards. This idea is particularly true in coastal Louisiana, USA, where the current era of rapid land loss has the potential to undermine oyster fisheries. However, little is known about how such environmental change might differentially affect resource users and stakeholders. We examined social components of vulnerability to environmental hazards using indicators of susceptibility and adaptive capacity within the oyster fishery of Terrebonne Parish, Louisiana. Specifically, we used structured interviews to compare three resource-user roles: oyster fishers, oyster fishers/lease owners, and oyster lease owners only. Results indicated that oyster fishers/lease owners were highly dependent and thus susceptible to changes in the fishery because of high levels of occupational identity. These same people, however, were the most adaptable to change, which was reflected in their willingness to learn about new practices and evolve over time. Higher susceptibility in this group was offset by an increased ability to adapt, cope, and respond to changes in the environment. In contrast to these findings, oyster fishers that did not own any portion of a lease or business in which they operated were bad at coping with change and frequently held negative or fatalistic views on financial planning. These attributes made them the most vulnerable to environmental hazards. Overall, the most vulnerable participants in the Terrebonne Parish oyster fishery were those with low to moderate levels of personal and financial buffers and trust, coupled with high occupational identity and a low motivation to change. Local policy actions that target these attributes are likely to be the best entry points to reducing the vulnerability of stakeholders to hazards.
The DtMin Protocol: Implementing Data Minimization Principles in Medical Information Sharing
This study proposes DtMin, a novel protocol for implementing data minimization principles in medical information sharing between healthcare providers (HCPs) and electronic health record providers (EHRPs). DtMin utilizes a multi-type encryption approach, combining attribute-based encryption (ABE) and hybrid encryption techniques. The protocol classifies patient data attributes into six categories based on sensitivity, consent status, and sharing requests. It then applies differential encryption methods to ensure only the intersection of patient-consented and EHRP-requested attributes is shared in decipherable form. DtMin’s security is formally analyzed and proven under the ICR-DB and ICR-IS security games. Performance analysis demonstrates efficiency across various data volumes and patient numbers. This study explores the integration of DtMin with advanced cryptographic techniques such as lattice-based ABE and lightweight ABE variants, which can potentially enhance its performance and security in complex healthcare environments. Furthermore, it proposes strategies for integrating DtMin with existing healthcare information systems and adapting it to future big data environments processing over 100,000 records. These enhancements and integration strategies position DtMin as a scalable and practical solution for implementing data minimization in diverse healthcare settings, from small clinics to large-scale health information exchanges.