Search Results (487)

Having in view the current global disruptive social and economic landscape, sustainability becomes more important than ever. As producers become more concerned about adopting more sustainable practices, customer awareness towards sustainable behavior must be the focus of all stakeholders. Within this context, the SHIFT framework (proposed in 2019) highlights the manner in which consumers’ traits and attitudes influence their propensity towards sustainable consumption. It consists of five factors considered to be relevant to consumer behavior: Social influence, Habit formation, Individual self, Feelings and cognition, and Tangibility. Different from previous studies, this research focuses on applying the SHIFT framework to the automotive industry, taking into consideration the contribution of digital technologies to fostering sustainable consumer behavior throughout the entire product lifecycle. Using a qualitative research approach, the most relevant digital technologies in the automotive industry were identified and mapped in relation to the three phases of consumption (choice, usage, and disposal). The research aimed to develop and test an original conceptual framework, starting from the SHIFT. The results of the study highlight the fact that the digital technologies, in their diversity, are integrated in different ways into each of the three phases, facilitating the adoption of sustainable consumption. To achieve sustainability, the two key stakeholders, consumers and producers, should share a common ground on capitalizing the opportunities offered by digital technologies. Full article

Adverse drug reactions (ADRs) significantly affect patient safety and healthcare spending worldwide. Hospital pharmacists are uniquely positioned to address ADRs due to their crucial role in medication management. However, underreporting remains a global concern, especially in developing countries, where pharmacovigilance systems are inadequately developed. Therefore, this pilot study aimed to evaluate and compare the knowledge, attitudes, perceived barriers, and facilitators regarding ADR reporting by hospital pharmacists in a developed (US) and a developing (Pakistan) country. A cross-sectional survey was conducted, using a pre-validated questionnaire. The pharmacists, possessing a minimum of one year’s hospital experience, were selected via convenience sampling. Out of 151 respondents, included in the final analysis (US: n = 51; Pakistan: n = 100), the majority were female (62.3%), aged 29–35 years (38%), and possessed a Pharm. D degree (49.7%). The knowledge (US: 6.03 ± 0.27 vs. Pakistan:5.69 ± 0.25, p-value = 0.193) and attitude scores (US: 32.02 ± 0.73 vs. Pakistan: 32.63 ± 0.67; p-value = 0.379) exhibited no significant differences between the groups. Nonetheless, barriers at both the individual and systemic levels were more pronounced in the developing country. Important facilitators reported were mobile applications for ADR reporting, specialized training, and intuitive reporting tools. In conclusion, we found that pharmacists in both settings exhibit comparable knowledge and positive attitudes towards ADR reporting, though specific contextual barriers are present. Interventions customized to the local hospital infrastructure are crucial for enhancing ADR reporting, particularly in resource-constrained settings. Full article

Self-realization, a multifaceted concept, has long been a subject of interest in the scientific literature. Given its profound impact on overall well-being and work-related satisfaction, the development of instruments capturing its complexity assumes significant relevance. Therefore, this study presents the development and validation of the META—Measurement for Evolution, Transformation, and Autorealization, a self-report measure designed to assess the propensity for self-realization. The study involved a sample of 634 participants, who completed a survey comprising the META, Satisfaction with Life Scale, Career Adapt-Abilities Scale, General Self-Efficacy Scale, Insight Orientation Scale, and 10-item Connor–Davidson Resilience Scale. The analyses confirmed the statistical solidity of the three hypothesized sections; Part A (Evolutionary Thrust), including Sense of life, Spirit of service, Self-Authorizing, Self-Centering, and Internal Drive for Realization; Part B (Transformative Adaptation), including Propensity for transformation, Distress to change, Adaptability, and Fullness of the Experience; Part C (Work Attitude), including Social Service and Care, Administrative and Office Works, Entrepreneurship, Customer Service and Hospitality, and Manual activities. Factor analyses supported the structural validity of the three hypothesized sections of the META, and all subscales showed good to excellent internal consistency. Significant correlations between the META dimensions/subdimensions and self-realization or well-being outcomes also emerged. The META showed excellent psychometric properties and may be used in various fields, promoting advancements in research and practices supporting well-being and personal fulfilment. Full article

The article aims to identify consumer types based on their attitudes and behaviors toward phygital tools and solutions. The analysis was based on the authors’ empirical research. The research was conducted on a sample of 2160 Polish consumers. The study employed an online survey technique. To determine the types of consumers, a 20-item scale was used, allowing the respondents to express their attitudes toward solutions and tools that improve shopping in the phygital space. The extraction of types was carried out in two steps. The first was cluster analysis, conducted using the hierarchical Ward method with the square of the Euclidean distance, and the second was non-hierarchical cluster analysis using the k-means method. As a result of the analyses, three relatively homogeneous types of consumers were distinguished: phygital integrators, digital frequenters, and physical reality anchors. The behaviours of consumers from each type were examined in the context of their impact on sustainable consumption and the sustainable development of the planet. The proposed typology contributes to developing consumer behavior theory in sustainable consumption environments. It provides practical implications for designing customer experiences that are more inclusive, resource-efficient, and aligned with responsible consumption patterns. Understanding how different consumer groups engage with phygital tools allows businesses and policymakers to tailor strategies that support equitable access to digital services and foster more sustainable, adaptive consumption journeys in an increasingly digitized marketplace. Full article

The aim of this study is to investigate how consumers’ cognitive and affective responses to web-based augmented reality affect their intention to continue to use augmented reality. The novelty of this study is the integration of the Stimulus–Organism–Response model with Technology Continuance Theory, allowing for an investigation of the relationships among the following critical variables: augmented reality (AR), utilitarian value, perceived risk, user satisfaction, attitude toward AR, and continuance intention. The study sample consisted of 452 participants. Data were analyzed using the Partial Least Squares–Structural Equation Modeling (PLS-SEM) approach. The results indicate significant direct relationships between all variables. Furthermore, this study demonstrated an indirect relationship between AR and continuance intention, mediated sequentially by cognitive responses, namely, utilitarian value and perceived risk, and affective responses, including user satisfaction and attitude toward AR. Consequently, it was revealed that all indirect relationships were significant, except for the pathways from AR to continuance intention involving perceived risk. This study presents key insights for online retailers, demonstrating how the integration of AR technology into conventional online shopping platforms can optimize user experiences by enhancing the cognitive and affective responses of customers. This, in turn, strengthens their intention to continue using AR technology, fostering sustained engagement and the long-term adoption of AR technology. Full article

Purpose—This research paper examines the critical factors in customer satisfaction while purchasing fruits and vegetables at farmers’ markets. Design/methodology/approach—This study was conducted using a prepared questionnaire to collect data on a random sample of 235 customers of farmers’ markets in the state of Maharashtra, India. The research was carried out in the year 2023. Seven hypotheses were tested concerning the relationships between the variables of interest. The variables of convenience, variety, quality, price, health and hygiene, and service conditions were used as independent constructs and were proxied by reflective indicators. Customer satisfaction and customer loyalty were treated as an exogenous variable and an endogenous variable, respectively. Structural equation modeling was used to investigate the model relationships and confirm the theoretical model. Findings—The findings validate all the reflective indicators used in the study. The latent variables of convenience, variety, quality, price, health and hygiene, and service conditions positively and significantly affect customer satisfaction, and customer satisfaction positively and significantly affects customer loyalty toward farmers’ markets. The structural equation explains approximately 55% of the variation in customer satisfaction related to convenience, variety, price, quality, health and hygiene, and service conditions. Significance—The study results provide insights into the factors that influence consumer behavior and attitudes toward farmers’ markets. By identifying these predictors, this study can help farmers’ markets and other stakeholders develop effective marketing strategies to attract and retain customers, ultimately promoting sustainable food production and consumption. Additionally, the results can inform policymakers on how to support and promote farmers’ markets as healthy and sustainable food sources. Practical implication—By implementing the practical suggestions derived from the implications of this research, farmers’ markets can optimize customer satisfaction, boost customer loyalty, and reinforce their position as valuable contributors to local communities’ well-being and sustainability. Originality/value—The acceptance of farmers’ markets in India as an alternative shopping destination for fruits and vegetables is gradually increasing. This exploratory study conducted on farmers’ markets examined several factors, including price, in assessing customer satisfaction and farmers’ markets’ effectiveness at positioning themselves as shopping destinations for consumers in India. Full article

South Africa’s bioeconomy strategy identifies bio-innovation as a key driver of economic growth and social development, with plant breeding playing a central role in improving food security through the development of high-yielding, resilient, and high-quality crops. However, consumer perceptions of recent advances, particularly new breeding techniques (NBTs), remain underexplored. This study examines South African consumer attitudes towards plant breeding innovations, using a mixed-methods approach. The initial focus group interviews informed the development of a structured quantitative survey examining familiarity, perceptions, and acceptance of plant breeding technologies. Consumer awareness of plant breeding principles was found to be limited, with 67–68% of respondents unfamiliar with both conventional and modern plant breeding procedures. Despite this information gap, consumers expressed conditional support for modern breeding techniques, especially when associated with actual benefits like increased nutritional value, environmental sustainability, and crop resilience. When favourable effects were outlined, support for general investment in modern breeding practices climbed from 45% to 74%. Consumer purchase decisions emphasised price, product quality, and convenience over manufacturing techniques, with sustainability ranked last among the assessed factors. Trust in the sources of food safety information varied greatly, with medical experts and scientists being ranked highly, while government sources were viewed more sceptically. The results further suggest that targeted education could improve customer confidence, as there is a significant positive association (R² = 0.938) between familiarity and acceptance. These findings emphasise the significance of open communication strategies and focused consumer education in increasing the adoption of plant breeding breakthroughs. The study offers useful insights for policymakers, researchers, and industry stakeholders working on engagement strategies to facilitate the ethical growth and application of agricultural biotechnology in support of food security and quality in South Africa. This study contributes to a better understanding of South African consumers’ perceptions of plant breeding innovations and food safety. The research findings offer valuable insights for policymakers, researchers, and industry stakeholders in developing effective engagement and communication strategies that address consumer concerns and promote the adoption of products derived from diverse plant breeding technologies. Full article

California’s SB 1014 (Clean Miles Standard) mandates ridehailing fleet electrification to reduce emissions from vehicle miles traveled, posing financial and infrastructure challenges for drivers. This study employs a mixed-methods approach, including expert interviews (n = 10), group discussions (n = 8), and a survey of full- and part-time drivers (n = 436), to examine electric vehicle (EV) adoption attitudes and policy preferences. Access to home charging and prior EV experience emerged as the most statistically significant predictors of EV acquisition. Socio-demographic variables, particularly income and age, could also influence the EV choice and sensitivity to policy design. Full-time drivers, though confident in the EV range, were concerned about income loss from the charging downtime and access to urban fast chargers. They showed a greater interest in EVs than part-time drivers and favored an income-based instant rebate at the point of sale. In contrast, part-time drivers showed greater hesitancy and were more responsive to vehicle purchase discounts (price reductions or instant rebates at the point of sale available to all customers) and charging credits (monetary incentive or prepaid allowance to offset the cost of EV charging equipment). Policymakers might target low-income full-time drivers with greater price reductions and offer charging credits (USD 500 to USD 1500) to part-time drivers needing operational and infrastructure support. Full article

This study investigates the mechanisms through which employees’ green behavioural intention (GBI) translates into employee in-role green behaviour (EGB-IR) in the hospitality sector. Drawing on the Theory of Planned Behaviour (TPB) and the Value-Belief Norm (VBN) theory, we propose an extended model that incorporates four contextual mediators —customers’ environmental attitudes (CEAs), coworkers’ green work climate (CGWC), supervisors’ commitment to the environment (SCE), and environmental organisational policy (EOP)—to explain how the relationship between intentions and behaviours is mediated by these social and organisational factors. Data were collected through a self-administered survey of 497 employees from hotels located in the Canary Islands, a recognised coastal tourism destination facing relevant environmental challenges. The proposed relationships were tested using Partial Least Squares Structural Equation Modelling (PLS-SEM). Results confirm that GBI significantly predicts in-role green behaviour (EGB-IR), and all four contextual factors partially mediate this relationship. Among them, EOP and CGWC emerged as the most influential mediators. These findings underscore the importance of aligning individual motivation with supportive workplace environments to foster consistent sustainable practices in hospitality organisations. This research contributes to the growing literature on green behaviours in hospitality by empirically validating a multilevel TPB-VBN-theory-based framework and highlighting key points for hotel managers aiming to strengthen their environmental commitment through employee engagement. Full article

Insider threats pose significant challenges to organizations, seriously endangering information security and privacy protection. These threats arise when employees with legitimate access to systems and databases misuse their privileges. Such individuals may alter, delete, or insert data into datasets, sell customer or client email addresses, leak strategic company plans, or transfer industrial and intellectual property information. These actions can severely damage a company’s reputation, result in revenue losses and loss of competitive advantage, and, in extreme cases, lead to bankruptcy. This study presents a novel solution that examines how organizational factors such as job satisfaction and security, organizational support, attachment, commitment, involvement in information security, and organizational norms influence employees’ attitudes and intentions, thereby mitigating insider threats. A key strength of this research is its integration of two foundational theories: the Social Bond Theory (SBT) and the Theory of Planned Behavior (TPB). The results reveal that job satisfaction and security, affective and normative commitment, information security training, and personal norms all contribute to reducing insider threats. Furthermore, the findings indicate that employees’ attitudes, perceived behavioral control, and subjective norms significantly influence their intentions to mitigate insider threats. However, organizational support and continuance commitment were not found to have a significant impact. Full article

Advances in pharmaceutical technology have positioned 3D printing and bioprinting as promising tools for developing personalized drug therapies. These innovations may redefine compounding practices by enabling precise, patient-specific drug formulations. Evaluating pharmacists’ readiness to adopt such technologies is therefore becoming increasingly important. Aim: The aim of this study is to investigate pharmacists’ knowledge, attitudes, and perceived barriers regarding the application of 3D printing and bioprinting technologies, as well as their perspectives on the regulation and implementation of these technologies in the context of personalized pharmacy. Materials and Methods: A custom-designed questionnaire was developed for the purposes of this pilot study, based on a review of the existing literature and informed by expert consultation to ensure conceptual relevance and clarity. The survey was conducted between September and December 2024. The data collection instrument comprises three main sections: (1) sociodemographic and professional characteristics, (2) knowledge regarding the applications of 3D printing and bioprinting in pharmacy, and (3) attitudes toward the regulatory framework and implementation of these technologies. Results: A total of 353 respondents participated, and 65.5% of them (n = 231) correctly distinguished between the concepts of “3D printing” and “bioprinting.” More than 25% (n = 88) were uncertain, and 8.5% (n = 30) were unable to differentiate between the two. Regarding the perceived benefits of personalized pharmacy, 83% (n = 293) of participants identified “the creation of personalized medications tailored to individual needs” as the main advantage, while 66% (n = 233) highlighted the “optimization of drug concentration to enhance therapeutic efficacy and minimize toxicity and adverse effects.” Approximately 60% (n = 210) of the pharmacists surveyed believed that the introduction of 3D-bioprinted pharmaceuticals would have a positive impact on the on-site preparation of customized drug formulations in community and hospital pharmacies. Lack of regulatory guidance and unresolved ethical concerns were identified as primary barriers. Notably, over 40% (n = 142) of respondents expressed concern that patients could be subjected to treatment approaches resembling “laboratory experimentation.” Nearly 90% (n = 317) of participants recognized the need for specialized training and expressed a willingness to engage in such educational initiatives. Conclusions: Three-dimensional printing and bioprinting technologies are considered cutting-edge instruments that may contribute to the advancement of pharmaceutical practice and industry, particularly in the field of personalized medicine. However, respondents’ views suggest that successful integration may require improved pharmacist awareness and targeted educational initiatives, along with the development and adaptation of appropriate regulatory frameworks to accommodate these novel technologies in drug design and compounding. Full article

The widespread deployment of service robots in industries such as hospitality has significantly transformed service delivery, influencing not only customers but also employees. This study examines the multi-dimensional impact of service robots on hotel employees, focusing on their attitudes, emotional responses, and willingness to collaborate, as shaped by perceived benefits (service reliability, process efficiency, and job crafting) and risks (inefficiency, insufficient intelligence, and privacy concerns). Data were collected from 471 hotel employees in South Korea with experience working alongside service robots, and Hayes’ Process Macro Model 4 was employed for hypothesis testing. The findings reveal that perceived benefits positively influence employees’ attitudes, emotions, and willingness to collaborate, while perceived risks exert a negative impact. Furthermore, attitudes and emotional responses mediate these relationships. These findings provide theoretical and practical insights for managers, policymakers, and service robot manufacturers to address employee concerns, improve human–robot collaboration, and promote sustainable technological integration within the service industry. Full article

Premium fashion brands are increasingly adopting Generative Artificial Intelligence (GenAI) to reduce costs and enhance creativity. However, consumers have mixed perceptions of clothing with AI-generated patterns (CAGPs) launched by premium fashion brands, especially in online shopping contexts where consumers cannot examine physical products firsthand. This study integrates the Theory of Planned Behavior (TPB) with Customer Perceived Value (CPV) to investigate Chinese Millennials’ attitudes and purchase intentions toward online purchases of CAGPs launched by premium fashion brands. Using a purposive sampling approach, the study collected 471 valid responses from Chinese Millennials. Structural equation modeling (SEM) was then employed to test the proposed model and hypotheses. The results reveal that perceived brand design effort and perceived price value are primary drivers of purchase intention for CAGPs from premium fashion brands, while perceived aesthetic value significantly shapes consumer attitudes. The subjective norm and attitude positively influence purchase intention. This study sheds light on the roles of aesthetic, emotional, monetary and social factors in driving purchase intention, offering practical suggestions for premium brands’ product design and marketing strategies. Full article

The present paper aims to analyze consumers’ attitudes to domestic leisure tourism, considering essential factors that affect consumer travel choices and experiences. The focus is on the attitudes to the main advantages and disadvantages of domestic leisure tourism in Bulgaria. The research is based on the outcomes of a nationally representative survey among 1003 respondents aged over 18. The results are interpreted using the Fishbein multi-attribute model. The results reveal that the customers’ attitudes toward the advantages of the Bulgarian winter (ski) and summer (sea) domestic leisure tourism are relatively higher compared to the midpoint of the interval and to their highest point. Although the score for summer domestic leisure tourism is slightly lower than that of winter tourism, Bulgarian consumers appear to be more dissatisfied with the advantages of summer (sea) domestic leisure tourism. The dissatisfaction is not only greater compared to the midpoint of the scale but also in comparison to the disadvantages associated with winter domestic leisure tourism. Overall, Bulgarian consumers are more attracted to the positive aspects of domestic winter leisure tourism and more concerned about the negative aspects of summer tourism. Full article

The application of intelligent robots will change the service model of hotels. However, users’ willingness to use robots in hotels is not so strong. The research aims to identify the factors influencing potential consumers’ intention to use hotel robots. Based on the technology acceptance model and social presence theory, this study constructs a hotel robot acceptance model (HRAM), and this model includes seven variables: social presence, perceived playfulness, trust, perceived ease of use, perceived usefulness, attitude, and willingness to use hotel robots. The research involved a combination of quantitative (N = 261) and qualitative (N = 20) methods used to collect data on potential hotel customers in China, and structural equation modeling was applied for verification. The research results showed that social presence positively influences perceived playfulness, attitude, and trust, with an indirect influence on users’ behavioral intention to use hospitality robots. Perceived ease of use has a positive impact on perceived usefulness; it also positively affects users’ attitudes. Perceived playfulness, perceived usefulness, attitude, and trust positively influence consumers’ behavioral intention to use hospitality robots. This research reveals the influence of social presence, perceived playfulness, trust, perceived ease of use, perceived usefulness, and attitude on users’ willingness to use hotel robots. This research expands the technology acceptance model and its application fields so that the model can serve as a theoretical framework for studies on hotel user behaviors. The findings can provide reference and guidance for the design of hospitality robots, the innovation of hospitality service models, and the decision-making of hospitality managers. The R&D of new hotel robots can lead to higher user acceptance and expand the model applications, thus advancing the sustainable development of hotel tourism. Full article