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Arctic city mayors influence municipal sustainability outcomes, navigating decisions on waste management, social service funding, and economic development. How do mayors make these decisions and to what extent do they integrate sustainability indicator data? Interviews with the mayors of Fairbanks, Alaska, Yellowknife, Canada, and Luleå, Sweden, revealed indicators are used on a case-by-case basis to track trends but lack systematic integration into decision-making. Constituent concerns drive agendas rather than indicator trends. Based on International Organization for Standardization (ISO) guidelines, 128 indicators grouped into 19 sustainability themes were compiled from 2000 to 2019 for the study cities. Partial Least Squares Structural Equation Modeling (PLS-SEM) was applied to examine the utility of ISO indicators as a guiding factor for sustainability trend tracking, identifying key themes for each city. Results show that indicator trends are too inconsistent and interconnected to be useful as an independent form of guidance for mayors. For Arctic municipalities, sustainability indicator datasets are useful in specific circumstances, but they do not provide the same kind of decision-making heuristic that mayors receive from direct constituent interaction. Findings emphasize the importance of more robust data collection and the development of management frameworks that support sustainability decision-making in Arctic cities. [ABSTRACT FROM AUTHOR]

Many countries have committed to carbon reductions and carbon neutrality targets in response to the Paris Agreement and Sustainable Development Goals (SDGs). With economic development, the transportation sector has become a major source of carbon emissions. In China, transport infrastructure—as an important carrier of the transportation sector—is important for controlling carbon emissions from this sector and achieving carbon neutrality and the targets of the SDGs. However, most studies have focused on transport vehicles and neglected transport infrastructure. Furthermore, the influences of collusive behavior and digital control technologies on the carbon reduction process have not yet been examined. This study aimed to analyze the influencing factors in the carbon reduction process in transport infrastructure. This study uses partial least squares structural equation modeling (PLS-SEM) to analyze the factors influencing carbon reductions in transport infrastructure and the mediating roles of collusive behavior and digital control technologies in the carbon reduction process. Low-carbon technologies, digital control technologies, and collusive behavior have positive direct and indirect effects on the carbon reduction effect. Digital control technologies have a positive effect on low-carbon regimes. Low-carbon technologies influence carbon reduction effects. Collusive behavior plays a mediating role in low-carbon regimes. Finally, the industrial structure influences carbon reduction effects. This study extends China's carbon emission research in the transportation sector by focusing on infrastructure rather than vehicles. Additionally, this is the first study to incorporate collusive behavior and digital control technologies into the framework to analyze the impact of carbon reductions. The study also employs PLS-SEM to explore effective carbon reduction paths. The findings provide decision-making support for controlling carbon reductions in transport infrastructure. [ABSTRACT FROM AUTHOR]

The goal of this study was to examine the predictors of sustainable tourism development during the post-COVID-19 pandemic period in the context of Bangladesh. Quantitative-type research was applied, and this study used a descriptive research design. A standardized questionnaire was used to collect 302 data points from actual indigenous tourists using an online purposive sampling method. A partial least squares structural equation modeling (PLS-SEM) approach was used to evaluate the data and test the hypotheses. The results of the PLS-SEM analysis method demonstrate that environmental integrity, social equity, economic prosperity, and technological adaption had a positive relationship with sustainable tourism development during the post-COVID-19 pandemic period in Bangladesh. This research article provides practical guidelines for tourism authorities (BTB, BPC, and so on) and stakeholders on how to effectively impact environmental integrity, social equity, economic prosperity, and technological adaption on sustainable tourism development during the post-COVID-19 pandemic period in the context of Bangladesh. This study recommends that influential strategic factors be utilized to develop a sustainable tourism business in Bangladesh, positioning it as an emerging tourism destination. [ABSTRACT FROM AUTHOR]

In recent years, artificial intelligence (AI) has been developing rapidly and has had a broad impact on the food industry, with food produced from AI-generated recipes already appearing to actually go on sale. However, people's trust and willingness to purchase AI food are still unclear. This study builds an integrated theoretical model based on cognitive trust and affective trust, taking into account consumers' quality value orientations, social norms, and perceived risks of AI food, with the aim of predicting and exploring consumers' trust and acceptance of AI food. This study utilized the questionnaire method and 315 questionnaires were collected. The results of structural equation modeling (PLS-SEM) indicated that food quality orientation, subjective norms, perceived trust, and affective trust all had a significant positive effect on consumers' purchase intentions. Perceived risk had a negative effect on affective trust and consequently on consumers' purchase intention, but the effect on cognitive trust was not significant. The results also suggest that cognitive trust is the basis of affective trust and that consumer trust and acceptance of AI food can be enhanced by augmenting two antecedents of cognitive trust (food quality orientation and subjective norms). Possible practical implications and insights from the current findings are discussed. [ABSTRACT FROM AUTHOR]

Although there has been a growing interest in understanding the influence of corporate social responsibility (CSR) on business outcomes, the specific mechanisms through which CSR impacts financial performance (FP) and competitive advantage (CA) remain underexplored, particularly in the context of the food industry. This study contributes to the literature by looking into the mediating effect of innovation and the moderating role of CA in the relationship between CSR and FP in Saudi Arabian food industry companies. Employing Partial Least Squares Structural Equation Modeling (PLS-SEM), data were collected from executive managers of these companies to assess how CSR practices foster innovation and, consequently, enhance financial outcomes and competitive positioning. The results reveal that CSR significantly improves FP and CA, primarily when focused on innovation. Moreover, CA does not influence the strength or direction of the relationship between CSR and FP. This research offers essential guidance for food industry managers to integrate CSR into core business strategies, foster innovation, and strengthen stakeholder relationships, thereby achieving sustainable growth and profitability. [ABSTRACT FROM AUTHOR]

The rise of artificial intelligence is fundamentally transforming the competitive landscape across various sectors, offering visionary enterprises new pathways to innovation development and to get a competitive edge. AI leverages data, analysis, and observations to perform tasks without hard coding, and benefits from self-learning and continuous improvement. We use Systems Thinking to frame how managers may adopt and integrate AI in business activities. We also investigate the motivations driving entrepreneurs to adopt AI solutions, and how they may impact on sustainable business model innovation, by administering a questionnaire to a sample of innovative Italian SMEs to get a comprehensive overview of the dynamics influencing AI adoption in business. This study sheds light on the intricate relationship between technology, sustainability, and corporate innovation. It offers both valuable insights for future research and for strategic managerial decisions on AI integration. Furthermore, it helps the development of innovative, sustainable business models in the evolving landscape of the Great Reset. [ABSTRACT FROM AUTHOR]

This paper investigates the Building Information Modeling (BIM) adoption impact on the factors of Contract Cost Variance (CCV) over time. The study considers qualitative and quantitative data to identify the most common causes of CCV through pre-tendering. A partial least square-structure model (PLS-SEM) procedure was used to develop a causal model and rank CCV factors based on their effect, partially based on prior survey raw data conducted in 2022 and the data from 94 projects. Construction industry experts assessed the prior five-year rate of BIM adoption on construction projects to infer the expected trend in BIM adoption in the future (until 2037). Based on the causal model of CCV factors and the future rates of BIM adoption, the dynamic impact of BIM on CCV factors over time was modeled and analyzed. The analysis shows that BIM reduces CCV over time by improving Estimator Performance (EP), Information Quality (IQ), and contractual procedure (CP). The results showed that the CP, EP, and EF have directly impacted CCV, and the PC and IQ indirectly affect the CCV. This paper considers the temporal aspect, examining how the impact of BIM on CCV factors evolves. This dynamic analysis is crucial for long-term strategic planning in construction management. [ABSTRACT FROM AUTHOR]

This study explores the factors influencing the migration intentions of the new generation of migrant workers from the perspective of employment quality. Utilizing differential analysis, correlation analysis, and the Partial Least Squares Structural Equation Modeling (PLS-SEM) model, this study analyzes data on hukou transfer intention obtained through an exploratory questionnaire survey. The results indicate significant differences in migration intentions among new-generation migrant workers differentiated by job industry, job position, gender, household registration type, and housing type. Additionally, age, the number of local family members, and housing satisfaction are strongly correlated with migration intentions. Path analysis reveals that employment stability, income–expenditure match, and social integration significantly positively affect migration intentions. This research provides a unique perspective on employment quality and offers theoretical foundations for policies related to migrant workers' hukou transfer intention. [ABSTRACT FROM AUTHOR]

Applying information technology capabilities (ITC) to business processes is critical in the current data and information age. However, various bottlenecks and barriers restrict the adoption of ITC. To address these obstacles, fostering an entrepreneurial orientation (EO) can be beneficial. Drawing on the dynamic capabilities view, this study develops and tests a model that empirically analyzes how EO influences the adoption of ITC. The proposed model also assesses the separate and joint effects of EO and ITC on firm performance (FP). The research hypotheses were tested using a survey of 157 Chilean firms, and the PLS-SEM method was applied. The findings indicate that EO promotes the development of ITC and that the synergistic relationship between the two positively affects FP. These findings provide valuable insight for managers in terms of aligning their strategic approach with technological capabilities to enhance their company's success. [ABSTRACT FROM AUTHOR]

Mackerel is one of the most popular fish in Korea. However, the determinants of consumer purchase behaviors have not been identified, even though mackerel is an important fish to Korean consumers. This study aims to predict the determinants affecting consumer purchase intentions for mackerel in the Korean domestic market. For this, the author conducted a questionnaire survey, predicted the consumers' purchase intentions for mackerel using PLS-SEM (partial least squares structural equation modeling), and evaluated the predictions using the TPB (theory of planned behavior) model. Moreover, this study examined whether there is a difference in consumers' purchase intentions between Korean and Norwegian mackerel. As a result, it is identified that the quality and utility of exogenous constructs indirectly affected the purchase intention (PI) through attitude toward the behavior (AB). In addition, the PI was affected by the subject norm (SN), which was affected considerably by the industrial conditions (IC) of exogenous constructs. Furthermore, the PI was also influenced by perceived behavioral control (PBC), which has the strongest impact on the PI. However, the purchase determinants of consumers were not different between Korean and Norwegian mackerel. In conclusion, Korean consumers consider quality and utility when they purchase mackerel, and their positive attitude can help them make a purchasing decision. Moreover, the more they recognize the conditions of production, business, and culture, the higher their intention is to purchase mackerel because they are forming a positive social atmosphere. Furthermore, whether they have the financial leeway and repulsion also represents factors in their purchase intention for mackerel. Finally, although Korean consumers prefer domestic seafood, they do not have different preferences when purchasing mackerel. [ABSTRACT FROM AUTHOR]

Runoff and sediment (RAS) are important indicators of soil erosion in a watershed, playing a significant role in the migration of surface material and landform development. Previous studies have extensively documented the effects of trees, shrubs, herbs, and soil on runoff and sediment during erosive rainfall; however, the precise interactions among these factors and their influence on RAS yield within the vegetation hierarchy remain unclear. Using the random forest algorithm and the structural equation model, this research aimed to quantify the interaction of numerous variables within diverse vegetation hierarchies and how they affect RAS, as well as to identify critical indicators that influence RAS. The structural equation model results show that the grass properties have a direct effect on soil properties, and the grass properties and soil properties both affect the canopy properties directly; the soil properties and canopy properties are the main factors influencing runoff and sediment directly. In addition, the grass properties could affect RAS by influencing the soil properties indirectly, and the soil properties could also affect RAS indirectly by influencing the canopy properties. Height difference (HD) between two layers of vegetation had the highest weight of 1.043 among the canopy variables, showing that HD has a substantial effect on RAS. Among the soil properties, soil bulk density and maximum field capacity have a significant impact on RAS. We conclude that canopy properties have the greatest impact on RAS. In the future, more Caragana microphylla Lam and Robinia pseudoacacia Linn plants should be planted to prevent soil erosion. This study provides a scientific basis for vegetation planting management and soil erosion control on the Loess Plateau. [ABSTRACT FROM AUTHOR]

Working at construction sites can harm individuals' health and well-being. However, stakeholders often focus on improving health while discounting well-being. Establishing a better workplace environment can improve workplace well-being. Therefore, this study aims to investigate the factors influencing workplace well-being in infrastructure construction projects. To achieve this aim, the study objectives are to (1) identify the critical factors influencing workplace well-being in infrastructure construction projects; (2) develop an interrelationship model between underlying constructs of the factors; and (3) assess the influence of the underlying constructs on workplace well-being in infrastructure construction projects. First, a list of factors influencing workplace well-being was established using data from a systematic literature review and semi-structured interviews. Then, a survey was developed using the list of factors and distributed to infrastructure construction practitioners. In total, 124 responses were retrieved and analyzed using normalized mean analysis, exploratory factor analysis (EFA) and partial least square structural equation modeling (PLS-SEM). The analyses reveal that the critical factors include workload, salary package, the timeline of salary payment, working hours, planning of the project, insurance for construction workers, workers' welfare and project progress. Furthermore, the underlying constructs are physical factors and psychosocial factors. Finally, both physical and psychosocial factors are found to significantly influence workplace well-being in infrastructure construction projects. Focusing solely on physical factors may not sufficiently enhance workplace well-being in construction projects, as there are also non-visible factors, such as psychosocial factors. Thus, exploring the interplay between visible and non-visible factors and their influence on workplace well-being in construction projects is crucial. Nevertheless, the findings have several limitations, including using data from a single country and non-hands-on construction practitioners, as well as the underlying constructs being derived solely using statistical methods. Still, the study is original in its focus on modeling the relationship between the factors influencing workplace well-being within the context of infrastructure construction projects. In other words, this study differs from prior research by specifically modeling the factors that influence well-being in infrastructure construction projects. [ABSTRACT FROM AUTHOR]

This study examines the mediating effect of rural economic dynamization between socio-environmental heritage and the sustainability of protected areas in the buffer zone of the Serranía de las Quinchas Regional Natural Park, located in the municipality of Otanche, Boyacá Department, Colombia. The study population includes families that are part of the productive units in this area. The methodological approach of this study is based on partial least squares structural equation modeling. The working unit was established in the regional protected areas of Colombia, specifically in the Serranía de las Quinchas Regional Natural Park. A sample of 172 participants was selected using a non-probabilistic intentional sampling method, covering academics, company representatives, social leaders, local authorities, and representatives of non-governmental organizations. The study variables were measured using a scale with satisfactory psychometric properties, which included 12 items for socio-environmental heritage, 17 items for rural economic dynamization, and 11 items for the sustainability of protected areas. These were structured into subcategories based on the ecosystem services approach (factors that demonstrate social and economic dynamics). Responses were collected using a five-point Likert scale. The sample was analyzed using SmartPLS 3.3.3 software, applying a reflective–reflective hierarchical component model to evaluate the first- and second-order relationships among the variables. The results demonstrate the importance of socio-environmental heritage for local communities as a strategic component that facilitates the rural economic dynamization of protected areas based on sustainability. This research contributes to understanding the relationship between socio-environmental heritage and the sustainability of protected areas, mediated by rural economic dynamization, highlighting the relevance of in situ conservation strategies and prospective planning of these territories to implement sustainability dynamics. It is concluded that rural economic dynamization acts as a significant mediator in the relationship between socio-environmental heritage and the sustainability of protected areas, emphasizing the need to integrate these dynamics into the management of natural resources and the promotion of sustainable development in rural communities. [ABSTRACT FROM AUTHOR]

The overconsumption of clothing has detrimental impacts on society and the environment. For consumers, reducing consumption is complicated by the vital role that clothing plays in individual expression. This study examined the influence of personal values and clothing style confidence on consumers' interest in upcycled clothing. An online Internet survey was used to gather data from a valid sample of 565 U.S. residents. Partial least squares structural equation modeling was used to analyze the data. Schwartz's self-transcendence and self-enhancement values were modeled as antecedents to clothing style confidence (CSC), which is a multi-dimensional construct composed of five factors, including (1) style longevity, (2) aesthetic perceptive ability, (3) creativity, (4) appearance importance, and (5) authenticity. CSC was predicted to mediate the relationship between self-transcendence and self-enhancement values and interest in upcycled clothing, including the purchase of upcycled clothing and interest in learning how to upcycle clothing. Findings showed that CSC mediated the relationship between self-self-transcendence and self-enhancement values and interest in upcycled clothing, as predicted according to value–attitude–behavior theory. Results suggest that bolstering consumers' confidence in personal style may provide intrinsic motivation for change, empowering individuals to embrace their personal style rather than follow fashion trends. [ABSTRACT FROM AUTHOR]

Pepper (Capsicum annuum L.) is one of the most important economic crops in the world. By controlling the transport and distribution of photosynthetic products between cells and organs, sugar transporters are widely involved in growth and development, environmental adaptation, and microbial interactions. The present study was carried out at the genome-wide level to systematically characterize sugar transporters. As a result, 50 MST, 3 SUT, and 29 SWEET genes were identified and classified. The expression pattern of sugar transporters in pepper was analyzed by transcriptomic data. The expression properties of sugar transporters were further explored in pepper varieties with significant differences in weight, shape, and pungency. It was shown that the pepper sugar transporter genes had obvious spatiotemporal specific expression characteristics and exhibited variety-specific expression preferences. We focus on analyzing candidate genes that may be involved in fruit development and expansion. We further explore the response of pepper sugar transporters to adversity stress using a structural equation model. Finally, we found that the MST, SUT, and SWEET families are collectively involved in balancing pepper resistance to abiotic stress by coordinating the expression strengths of different family members. Our study may contribute to the functional study of pepper sugar transporter genes and create the prospect of utilizing sugar transporter gene resources to improve pepper variety. [ABSTRACT FROM AUTHOR]

Internal rural-urban migration is becoming a priority in social research. However, no one has systematically studied the intentions of farmers to migrate internally to Bangladesh to seek permanent urban residence via paid employment yet. This paper develops a TPB (theory of planned behaviour) model to explain farmers' intentions to migrate or not migrate to cities for paid employment; then, this paper tests the model against the data collected. A total 372 individuals (migrated farmers) were randomly chosen from 11,200 families who had left a rural area in Bangladesh to collect quantitative data about the issues raised in the model; the data were collected by a telephone interview. The socioeconomic profile of the respondents fits that of internal migrants identified in the literature, and the Cronbach's alpha as well as composite reliability statistics suggest that the data are representative of the population. According to the structural equation modelling (SEM) data, attitudes towards migration (ATTs) and subjective norms (SNs) have an impact on migration intention (MI), while perceived behavioural control (PBC) show no significant effect. This study used a primary dataset from interviews with rural migrants working in different sectors in different cities in Bangladesh. This suggests that the planned behaviour model may help explain farmers' decisions to migrate internally in Bangladesh and that policies based on the model may successfully reduce such migration. [ABSTRACT FROM AUTHOR]

The implementation of e-jeepneys stands as a change process that will eventually transition to the modernization of the public transport system in the Philippines. To address concerns about jeepneys' effects on the environment, energy use, society, the economy, and policies, their acceptability in the Philippines must be considered. This research study aims to identify the sources of influence on Filipinos' adoption of e-jeepney utilization as a mode of transportation using the extended Pro-Environmental Planned Behavior (PEBP) model. A total of 502 commuters voluntarily answered the survey questionnaire. Based on the findings, perceived environmental concern (PEC) is the most significant determinant influencing attitude (AT) and, thus, affecting the Filipinos' behavioral intention (BI) towards the adoption of e-jeepneys. Conversely, AT was the primary determinant of BI, which strongly supported the notion of AT as a strong driving force shaping behavioral decisions. Moreover, perceived authority support (PAS) emerged as a strong predictor of subjective norms (SNs), demonstrating the influence of institutional support on societal perceptions. As a result, more environmentally conscious people are more likely to view e-jeepneys positively and intend to use them as a mode of transportation. The endorsement or support from authoritative figures or institutions notably influences subjective norms, which are individuals' perceptions of social pressures regarding the use of e-jeepneys. [ABSTRACT FROM AUTHOR]

The truffle is a niche, valuable and ecological product exported and consumed all over the world. However, little is known about consumers' preferences for truffles and truffle products. This study empirically explores the factors influencing their consumption in Italy. A PLS-SEM model was implemented and validated using an extended version of the theory of planned behavior, including consumers' food-specific curiosity as an additional construct to basic constructs such as attitude, subjective norms and perceived behavioral control. The analysis allowed us to examine and verify the significance of the relationships between the factors and what impact they have on intentions to consume fresh and truffle-based products. The processing concerns of consumers were reached through face-to-face consultation with a semi-structured questionnaire. The results obtained suggested that consumers' intentions in using truffles involve several factors, such as consumers' personal experiences, organoleptic characteristics (aroma and taste), food safety, trust in the seller/brand, traceability information, the aspect of green products and, more generally, the protection of the environment and forests. The findings provided novel insights for researchers to understand the aspects of truffle consumption, and also represent a guideline for marketers to develop appropriate marketing tactics to grow the truffle business. [ABSTRACT FROM AUTHOR]

Urban tourism has been instrumental in the global economic revival, particularly following the easing of COVID-19 pandemic restrictions. However, tourism is not neutral with respect to local quality of life, and little attention is given to the specific barriers that tourism presents to urban livability. This study aims to fill this research gap by identifying the most significant barriers to livability in tourist cities using livability satisfaction as the measure of urban livability. Kuala Lumpur, Malaysia, and Guilin, China, two international tourist cities with different contexts, were used as the study areas. This study used a questionnaire survey with a combination of probability sampling and quota sampling to obtain valid data from 793 respondents, including tourists and locals, of whom 395 were from Kuala Lumpur and 398 were from Guilin. The collected data were analyzed using a dual-stage PLS-SEM–ANN approach. The results indicated that economic burden, government, tourism ecology, infrastructure, and environmental quality barriers significantly influence livability satisfaction, with economic burden and tourist ecology barriers emerging as paramount concerns in both cities. Important differences between the two cities were also observed. Kuala Lumpur is more strongly impacted by environmental quality barriers, while infrastructure barriers more severely impact Guilin. The findings revealed that government leadership, equitable distribution of tourism benefits, and context-sensitive policy adjustment procedures are critical to balancing tourism development with the enhancement of urban livability. This study contributes to the urban livability and tourism literature through empirical quantification of livability barriers within urban tourism contexts. The study findings provide certain implications for stakeholders involved in the development and maintenance of tourist cities. [ABSTRACT FROM AUTHOR]

The lakes of Jianghan Plain, as an important component of the water bodies in the middle and lower reaches of the Yangtze River plain, have made significant contributions to maintaining the ecological health and promoting the sustainable development of the Jianghan Plain. However, there is a relatively limited understanding regarding the trends of lake area change for different types of lakes and their dominant factors over the past three decades in the Jianghan Plain. Based on the Google Earth Engine (GEE) platform, combined with the water body index method, the changes in area of three different types of lakes (area > 1 km2) in the Jianghan Lake Group from 1990 to 2020 were extracted and analyzed. Additionally, the Partial least squares structural equation model (PLS-SEM) was utilized to analyze the driving factors affecting the changes in water body area of these lakes. The results show that from 1990 to 2020, the area of the lakes of the wet season and level season exhibited a decreasing trend, decreasing by 893.1 km2 and 77.9 km2, respectively. However, the area of dry season lakes increased by 59.27 km2. The areas of all three types of lakes reached their minimum values in 2006. According to the PLS-SEM results, the continuous changes in the lakes' area are mainly controlled by environmental factors overall. Furthermore, human factors mainly influence the mutation of the lakes' area. This study achieved precise extraction of water body areas and accurate analysis of driving factors, providing a basis for a comprehensive understanding of the dynamic changes in the lakes of Jianghan Plain, which is beneficial for the rational utilization and protection of water resources. [ABSTRACT FROM AUTHOR]

Social media marketing has become a crucial component of contemporary business strategies, significantly influencing brand visibility, customer engagement, and sales growth. The aim of this study is to investigate and determine the key factors guiding customer attitudes towards social media influencers, and, on that basis, to explore their effects on purchase intentions regarding advertised products or services. A total of 376 filled-in questionnaires from an online survey were analysed. The main characteristics of digital influencers' behaviour that affect consumer perceptions have been systematized and categorized through a combination of both traditional and advanced data analysis methods. Structural equation modelling (SEM), machine learning and multi-criteria decision-making (MCDM) methods were selected to uncover the hidden dependencies between variables from the perspective of social media users. The developed models elucidate the underlying relationships that shape the acceptance mechanism of influencers' messages. The obtained results provide specific recommendations for stakeholders across the social media marketing value chain. Marketers can make informed decisions and optimize influencer marketing strategies to enhance user experience and increase conversion rates. Working collaboratively, marketers and influencers can create impactful and successful marketing campaigns that resonate with the target audience and drive meaningful results. Customers benefit from more tailored and engaging influencer content that aligns with their interests and preferences, fostering a stronger connection with brands and potentially affecting their purchase decisions. As the perception of customer satisfaction is an individual and evolving process, stakeholders should organize regular evaluations of influencer marketing data and explore the possibilities to ensure the continuous improvement of this e-marketing channel. [ABSTRACT FROM AUTHOR]

The surge in mobile shopping faces a challenge as not all potential consumers are comfortable with this mode. Retailers need a deeper understanding of factors influencing user experience to enhance marketing strategies. Despite extensive research, a gap remains in comprehending this aspect. Using a statistical PLS-SEM-ANN approach, this research aims to explore the psychological dimensions of expert and non-expert mobile shoppers for establishing better targeted marketing strategies in m-commerce settings. Analyzing experience levels in mobile commerce (m-commerce), key drivers like enjoyment, usefulness, subjective norms, and trust were scrutinized as interaction settings for consumers using mobile technologies. The findings reveal that, for less experienced m-shoppers, trust is the most significant driver of attitude and satisfaction, while, for experienced users, trust and usefulness are the primary antecedents. This research provides novel insights, aiding mobile marketers in refining targeting strategies based on consumer experience levels, emphasizing the importance of usefulness and trustworthiness for a seamless m-shopping experience. [ABSTRACT FROM AUTHOR]

Plant-based milk alternatives are important beverages in US consumer markets. Sustainability, consumer awareness, lifestyle changes, and other value-based reasons are why these beverages are increasing in popularity. The present study is focused on plant-based milk alternatives. It builds on an online consumer survey that explores the factors explaining US consumers' willingness to try plant-based milk alternatives and their word-of-mouth sharing about these beverages. Animal welfare concerns, environmental concerns, health consciousness, and dairy preferences are the factors under investigation. Results show that animal welfare, dairy preference, environmental concerns, and plant-based milk enthusiasm are significant predictors for willingness to try plant-based milk alternatives. Dairy preferences, environmental concerns, and plant-based milk enthusiasm predict the word-of-mouth factors. Overall, plant-based milk enthusiasm is the strongest driver for both consumer behaviours. Best practice recommendations address marketers in the US food and beverage industry and provide suggestions on how to target different consumer groups based on nutritional preferences and needs and on value-based product characteristics. [ABSTRACT FROM AUTHOR]

This study examines the role of using algorithmic human resource management (HRM) to make strategic decisions concerning firms' human resource (HR) activities. This study develops a scale to measure algorithmic HRM usage in its first phase. In the second phase, it is found that algorithmic HRM usage significantly impacts strategic HR decision-making, which helps and enables firms to create a competitive advantage. Utilizing the authors' LinkedIn profiles, 234 participants were included in the fieldwork. Collected data were analyzed by applying partial least squares structure equation modeling (PLS-SEM). The mediating roles of HR strategic decision-making and HR digital maturity as moderators in enabling the impact of algorithmic HRM on the firm's competitive advantage have been corroborated. This study finds a strong relationship between algorithmic HRM usage and competitive advantage, a significant relationship between algorithmic HRM usage and strategic HR decision-making, and a significant relationship between strategic HR decision-making and competitive advantage. The moderating role of HR digital maturity was insignificant in this research, paving the way for future research. This research, the model, and its findings contribute to the theory and implicate the practicality of algorithmic HRM. It is one of few papers addressing algorithmic HRM usage in a transitioning economy like Saudi Arabia. [ABSTRACT FROM AUTHOR]

The purpose of this research is to evaluate smart experience in green health tourism with the mediating role of content marketing by using the two models of technology acceptance and hedonism. This study utilizes quantitative and causal research methods. A total of 332 respondents completed a survey conducted at two Iranian tourism hubs. Also, purposeful sampling was used for data collection. Respondents rated their perceptions of each item on a five-point Likert scale. Using the partial least squares path modeling technique, the results reveal the direct effects of smart experience on green health tourism. The findings suggest that content marketing interacts with smart experience to influence green health tourism, such that the use of smart experience in health tourism can reduce the annual costs of developing environmental protection methods. This paper thus contributes to the hospitality management theory, green tourism, and wellness literature. [ABSTRACT FROM AUTHOR]

Macro-algae is an umbrella term for seaweed, which is an important ingredient in many novel food products in New Zealand and other Australasian countries. While attitudes, consumption motivation, knowledge, and socio-demographic consumer profiles have been investigated in specific countries in the region, consumer behavior such as willingness to eat and factors driving this behavior have not yet been explored. Therefore, the present study fills this research gap in a New Zealand context and explores predictors of New Zealand consumers' willingness to eat macro-algae and their perceived trust towards the countries of origin of these products. The symbolic value of food, health importance, food safety concerns, and food fussiness were the factors under investigation. The work builds on an online questionnaire and a sample of 437 consumers mirroring the New Zealand population in terms of gender, age, and annual household income. Data were collected through an opt-in panel provider in November 2023. The data analysis consisted of descriptive statistics and partial least square structural equation modeling. Results show that health importance and food fussiness tendencies are the strongest predictors of willingness to eat and trustworthiness of the two countries of origin. Best practice recommendations for marketing managers in New Zealand food retail are provided. [ABSTRACT FROM AUTHOR]

This study presents a first attempt to apply and validate the European Foundation for Quality Management (EFQM) Model 2013 as a framework in the context of public administrative services in Greece, and to explore the relationships between the model's enablers and results criteria. The methodological approach adopted was quantitative research with a structured questionnaire, while partial least squares structural equation modeling (PLS-SEM) was applied to validate the model and test the cause–effect relationships between the enablers and results on a national sample of 155 managers. The results confirmed the reliability and validity of the EFQM Model 2013 in the context of this study and revealed significant relationships between the model's enablers and results. In addition, the empirical findings of this study may improve our understanding of the underlying relationships between the EFQM model criteria, but should not be generalized, as this study only concerned Greek public administrative services. Finally, this study may provide valuable insights to managers and governing bodies responsible for policy-making about the significance and magnitude of the relationships between the enablers and results criteria so that they can develop strategies to improve the operational and strategic performance of the Greek public administrative services. [ABSTRACT FROM AUTHOR]

In this era of intense global competition, supply chains are facing challenges in coping with emerging market issues. Within diverse industries worldwide, supply chains are experiencing accelerated reconfiguration, with one of the most notable transformations being the digitalization of supply chain operations. But the literature lacks empirical evidence about how digital transformation effectively contributes to it. Thus, this paper delves into the implications of the supply chain digital transformation (SCDT) and supply chain reconfigurability (SCR) on its overall performance. Cross-sectional data from 379 respondents in the machinery, electronics, and home appliance manufacturing industries were collected through a closed questionnaire. Utilizing a hybrid approach involving the Partial Least Squares Structural Equation Model (PLS-SEM) and fuzzy-set Qualitative Comparative Analysis (fsQCA), this study employs a cross-validation of the conceptual model. Initially, the PLS-SEM is employed to unveil the direct impact of SCDT on supply chain performance (SCP), as well as the intermediary effect of SCR. Building on this foundation, the fsQCA method is further utilized to investigate the configuration paths that enable enterprises to achieve high SCP under the combined influence of SCR and SCDT. The research results affirm the significant influence of SCDT on SCP. Likewise, the findings highlight the crucial intermediary role of SCR between SCDT and SCP. Ultimately, three distinct configurations driving high supply chain performance are identified: technical, management, and flexible configurations, each playing a unique role. [ABSTRACT FROM AUTHOR]

Background: The sacha inchi plant contains nutrients that are beneficial for health, cosmetics, and food products, so it has the potential to be developed economically. The development of sacha inchi involves agricultural technology, which includes the treatment of fertilizer types that need to be studied in maintaining production and productivity. Objectives: This study aims to analyze the optimal type of fertilizer treatment on crop yields and the influence of farmers' perceptions of socio-economic factors in the development of sacha inchi plants so that an optimal sacha inchi development prediction model is formed. Methods: The partial least squares structural equation modeling (PLS-SEM) method was applied in the study to analyze the effect of perception of socio-economic factors, and the adaptive neuro-fuzzy inference system (ANFIS) method was applied to predict the optimal fertilizer treatment model. Findings: The results of the PLS-SEM analysis showed that farmers' perceptions of sacha inchi cultivation considered economic factors at a percentage of 50.66% and social factors at a percentage of 49.33% and had a linear relationship with the economic development of sacha inchi with a value of 0.832, although simultaneously, 77.7% was influenced by economic factors and social factors, and 22.3% was influenced outside these two factors. The ANFIS prediction results reinforced the results of the analysis, which stated that fertilizer treatment based on sacha inchi plant waste in the form of seed shells produced greater harvest weight compared with goat manure fertilizer. If farmers wanted to use a combination fertilizer, the used composition was 80% sacha inchi seed shell waste and 20% goat manure fertilizer or other materials; if the used composition was otherwise, the yield tended to decrease. This research contributes to the theory of production sustainability by integrating the optimal fertilization factor as a decision support unit in the model. Practically, this study recommends the application of fertilizer from the basic ingredients of sacha inchi seed shells to create a sustainable sacha inchi processing industry that ensures production stability, strengthens the agribusiness ecosystem, and develops the economic potential of sacha inchi and reduces the operational costs of sacha inchi farming by reducing the cost of purchasing fertilizer and supporting the circular economy model. [ABSTRACT FROM AUTHOR]

Although current research recognizes the importance of the Expectancy Theory in the construction industry, a standardized project expectancy (PE, hereafter) inventory is still an area for further exploration, especially from the owner's perspective. This inventory is essential to identify the owner's expectancy priorities and help select partners aligned with their long-term and sustainable project goals. Based on the Expectancy Theory, a PE inventory is proposed after conducting a comprehensive literature review. It incorporates dimensions like goal difficulty, perceived control, and self-efficacy. The reliability of the inventory is confirmed by analyzing data from 197 construction-project openers through partial least squares structural equation modeling (PLS-SEM, hereafter). The findings indicate that perceived control is the most crucial dimension in PE, followed by self-efficacy and goal difficulty. A tunneling construction megaproject in Southeast China is presented as a case study. It suggests that when selecting partners for construction projects, the project owner should prioritize those amenable to control, thereby enhancing teamwork and collaboration quality. This strategy emphasizes the importance of the owner's command over project operation, rather than merely focusing on the partners' capabilities. [ABSTRACT FROM AUTHOR]

In recent years, many countries have actively promoted sustainable mobility as part of their efforts to decarbonize transportation through automotive electrification. Therefore, identifying the factors that influence individuals' interest in using electric cars (ECs) is crucial for guiding public opinion toward choosing this sustainable mode of transportation. Consequently, the present study mobilized the theory of planned behavior and the technology acceptance model to interpret the various factors influencing the intention to adopt ECs in a developing country. Following the developed model, data were collected from individuals using cars in Morocco through an online questionnaire. Data analysis using structural equation modeling revealed a positive influence of relative advantage on both the perceived ease of use and green perceived usefulness. Furthermore, the perceived ease of use, green perceived usefulness, environmental concern, and social influence positively affected attitudes toward using ECs. Similarly, these results confirmed that green perceived usefulness and individual attitudes positively enhance ECs adoption intention. These findings contribute to the literature related to ECs adoption and offer guidance to policymakers on promoting ECs adoption in developing countries. [ABSTRACT FROM AUTHOR]

Under abiotic stress, plant root exudates can improve plant growth performance. However, studies on the effect of root exudates on the stress resistance of another plant are insufficient. In this study, root exudates (REs) were extracted from Suaeda glauca to explore their effect on alfalfa seedlings under salt stress. The results showed that the plant height and fresh weight of alfalfa significantly increased by 47.72% and 53.39% after 7 days of RE treatment at a 0.4% NaCl concentration. Under 1.2% salt stress, REs reduced the Malondialdehyde content in alfalfa by 30.14% and increased the activity of its antioxidant enzymes (peroxidase and catalase) and the content of its osmotic regulators (soluble sugar and proline) by 60.68%, 52%, 45.67%, and 38.67%, respectively. Soil enzyme activity and the abundance of soil-beneficial bacteria were increased by REs. Spearman analysis showed that urease and neutral phosphatase were related to the richness of beneficial bacteria. Redundancy analysis confirmed that urease affected the composition of the soil bacterial community. The partial least squares structural equation model (PLS-SEM) revealed that REs had a direct positive effect on alfalfa growth under salt stress by regulating the plant's injury and antioxidant systems, and the soil bacterial community had an indirect positive effect on alfalfa growth through soil enzyme activity. [ABSTRACT FROM AUTHOR]

Due to its significant relevance in outsourcing, the global software industry, such as enterprise software development organizations, accepted the implementation of global software development (GSD). Customers play a pivotal role in any industry, and effective customer relationship management (CRM) is instrumental in ensuring client satisfaction while developing software projects. However, software organizations operating globally often need more insight into their customers' perspectives. These challenges give rise to a major combination for the success of the GSD projects. Organizations working globally face the key challenge of the implementation of CRM. The main objective of this paper is to investigate and understand the challenges faced by global software development organizations when implementing customer relationship management (CRM) in their enterprise software projects. This paper aims to assess how these CRM implementation challenges impact the value of enterprise software products in the context of global software development (GSD). To achieve this objective, the study employs the partial least squares-structural equation modeling (PLS-SEM) approach and conducts a systematic literature review (SLR) to identify relevant challenges. Additionally, this paper presents a conceptual framework based on the identified challenges and validates it through surveys and qualitative research with software outsourcing companies in Pakistan. The research provides valuable insights from the perspective of software developers and aims to offer practical guidance for the successful application of CRM in outsourcing. [ABSTRACT FROM AUTHOR]

In China, the annual generation of construction and demolition waste (CDW) has been steadily increasing, accompanied by a generally low recycling rate. To promote sustainable development, there is an urgent need to enhance the recycling of CDW. This paper aims to investigate the determinants of construction stakeholders' intention to use CDW recycling products in China. The stimulus–organism–response (S-O-R) model, integrating the technological–organizational–environmental (TOE) framework, personal perceptions, personal traits, and the intention to use, was chosen as our theoretical model. Through an analysis of 272 valid questionnaires, the partial least squares structural equation modeling (PLS-SEM) was utilized to evaluate the model and test the proposed hypotheses. The results indicated that personal traits are the most influential factor shaping construction stakeholders' intention to use, followed by personal perceptions, while external stimuli exert no direct significant impact on the intention to use. Nevertheless, personal traits and personal perceptions play a significant mediating role in the relationship between external stimuli and the intention to use, forming a noteworthy serial chain mediation. The research findings imply that in China, bolstering personal traits plays a critical role in guiding and promoting the intention to use CDW recycling products. [ABSTRACT FROM AUTHOR]

This investigation delves into the pervasive yet insufficiently examined phenomenon of "cyberloafing", characterized by employees engaging in non-work-related internet activities during office hours. Despite its frequent occurrence in contemporary work environments, the fundamental mechanisms underpinning cyberloafing remain largely uncharted. This study uses the conservation of resources theory and the cognitive–affective personality system framework to demystify the relationship between role stress and cyberloafing. We developed a dual-path model to assess the mediating roles of perceived insider status and emotional exhaustion. Employing SPSS and Smart PLS for data analysis, our research sampled 210 corporate employees. The findings reveal that role stress predicts perceived insider status and emotional exhaustion significantly. Notably, while perceived insider status negatively correlates with cyberloafing, emotional exhaustion shows a positive correlation. These factors mediate the relationship between role stress and cyberloafing, underscoring a multifaceted dynamic. Our results provide new theoretical insights into the mechanisms of employee counterproductive behavior, specifically in the context of cyberloafing, and broaden our understanding of its determinants. This study illuminates theoretical nuances and offers practical implications for managerial strategies and future scholarly inquiries into organizational behavior. [ABSTRACT FROM AUTHOR]

The objective of this study is to investigate and determine factors influencing user perception and acceptance of electronic government services in the context of technological advancements. The research focuses on classifying the main features of e-administrative systems with an emphasis on user satisfaction by integrating both traditional and modern data analysis techniques. Structural Equation Modelling (SEM), machine learning (ML) techniques, and multi-criteria decision-making (MCDM) methods have been applied to survey data to uncover the interdependencies between variables from the perspective of online users. The developed models discover and explain the underlying relationships in user attitudes towards e-government services. As the perception of customer satisfaction is subjective and dynamic, stakeholders should conduct regular measurements and data analysis to ensure continuous improvement of e-public services. [ABSTRACT FROM AUTHOR]

The primary objective of this study survey is to close knowledge gaps by measuring the responses from construction experts and investigating the significant effects of using digital technologies in construction information management (CIM). This is attributed to the lack of thorough knowledge among construction professionals on the implications and efficacy of incorporating digital tools in construction information management. A thorough analysis of the literature on the use of digital technologies revealed outcomes related to digitized ways of managing construction information, which were then contextually tailored through a pilot study and presented in the form of a postulated model. A total of 257 stakeholders in the building industry were given questionnaire surveys to complete in order to gather primary data. The final model of the result of adopting digital technology was statistically validated using partial least squares structural equation modelling (PLS-SEM). By concentrating on the quantitative contribution of the most important result to the adoption of digital technologies throughout the process of CIM, this study closes this knowledge gap. The three primary benefits that digital technologies have the most influence on are communication, operational efficiency, and market intelligence, according to this paper's conclusions. The research showed that encouraging relationships that enable the use of digital technologies should be promoted between technology providers and construction companies. In order to adopt and improve digital solutions, construction firms and technology providers will be able to collaborate in an ecosystem. By shedding light on the implementation and impact of digital technologies in the construction sector, the study helps to close this knowledge gap. The study offers valuable information for upcoming initiatives that support digital transformation through construction methods. The results serve as instructions for the government authorities to help them focus their efforts and distribute their resources more effectively. [ABSTRACT FROM AUTHOR]

Medical implantable technologies, such as cochlear implants or joint prostheses, have been commonly used since the late 20th century. By contrast, the market for this type of technology is expanding when the purpose is not medical, even though it is more marginal. This study tests a technology acceptance model for the latter type of insideable technology based on an extension of the technology acceptance models TAM and TAM2 proposed for hedonic technologies by van del Heijden. So, the behavioral intention of insertables is explained by the perceived usefulness and perceived ease of use, as well as social influence, as proposed in the TAM2 by Venkatesh and Davis. Additionally, the perceived enjoyment, included in the extension by Van der Heijden, is added as an explanatory factor. We applied structural equation modeling to the theoretical scheme provided by the modified TAM and performed a necessary condition analysis. Statistical analysis showed that all variables considered in the model have a significantly positive influence on behavioral intention. Likewise, the model has good properties both from the point of view of the fit obtained, since it predicts 70% of behavioral intention, and from the predictive point of view. The necessary condition analysis allows us to analyze whether the presence of some of the latent variables postulated to explain the attitude toward implantables is necessary to produce the said acceptance. Therefore, its absence is a critical aspect of expansion. We observed that perceived usefulness manifests itself as a necessary condition for behavioral intention with a medium size. Perceived ease of use and enjoyment also present a significant necessity effect size, but their strength is smaller. By contrast, the subjective norm does not have the status of a necessary variable. [ABSTRACT FROM AUTHOR]

The Internet of Things (IoT) holds immense potential for the social and economic development of developing countries, as recognized by academia and professionals. However, there is a notable lack of theoretical research on IoT adoption within agricultural settings. To address this gap, this study introduces a model focusing on nine critical "Technology-Organization-Environment" (TOE) factors. Empirical validation was conducted using data from 179 managers in diverse agricultural organizations. The research model was evaluated by using "Partial Least Squares Structural Equation Modeling" (PLS-SEM). The results underscored the significance of governmental support and technological compatibility in driving IoT adoption. Moreover, financial considerations within organizations and the evolving digital landscape were identified as key influencers of smart farm adoption. This study offers valuable insights with significant implications for sustainable IoT adoption in research and practical applications. [ABSTRACT FROM AUTHOR]

The trend toward sustainable and healthy food consumption has stimulated widespread debate. US consumers demand healthy and sustainable food options and are increasingly interested in alternative proteins such as macro-algae, also known as sea-vegetables. The present study is built on the responses of an online survey aiming to explore US consumers' commitment towards varying sea-vegetable-based products. Affordability, sustainability, taste, environmental friendliness, and health benefits, as well as product novelty and versatility, were the factors under investigation. All factors were found to be equally strong predictors for sea-vegetable product commitment. Best-practice recommendations for US food marketers and agricultural producers are also provided. [ABSTRACT FROM AUTHOR]

Little research has been conducted specifically on emotional intelligence (EI) and perceived quality of service in the hospitality industry. The main goal of this research consists of providing empirical evidence related to EI regarding its importance in quality of hospitality service (QHS). To do so, a hypothetical and conceptual model was tested by Partial Least Square-Structural Equation Modeling (PLS-SEM) techniques based on a sample of 408 employees in the hospitality sector in the region of Murcia (Spain). The findings of this work reveal the incidence that EI has on the QHS of human capital, despite a scenario that is characterized by a high rate of talent shortage worldwide and an increasing digitalization that could reduce human interaction. Also, implications are given so that EI could be more deeply analyzed for EI strategy-building within organizational behavior and human resource management areas from a practical approach, increasing engagement and preventing the so-called quality service sabotage. [ABSTRACT FROM AUTHOR]

Rural tourism has been a hot spot in tourism studies in recent years. This research uses Attitude Theory to investigate the influence mechanism of tourists' perceived value and place identity on their behavioral intention in rural tourism in Zhejiang Province, China. The study adopts the PLS-SEM method to process the data. The results indicate that tourists' behavioral intention is positively influenced by their perceived value and place identity. Additionally, perceived value has a positive impact on tourists' place identity, and place identity plays a positive intermediary role between perceived value and behavioral intention. Meanwhile, cultural value is perceived as having the greatest influence on place identity and behavioral intention. Therefore, rural tourist destinations should focus on cultural value and the tourists' sense of place to promote sustainable rural tourism development. [ABSTRACT FROM AUTHOR]

In the realm of sustainable advancements, high-tech electronics plants have evolved concomitantly with the innovations in environmentally conscious high-tech manufacturing. Nonetheless, the potential for fires in these establishments presents a profound challenge, jeopardizing both human resources and assets, while also bearing ecological implications. However, difficulty exists in understanding the system composition and fire protection features specific to the production environment. Meanwhile, sustainable development-oriented organizational countermeasures for fire resilience are rarely explored in the operations environment. Through a literature review, hypotheses development, an industrial survey, and PLS-SEM analysis using data from 84 questionnaires, this research aims to fill this gap by analyzing the system composition of high-tech electronics plants and its influence on fire resilience, emphasizing the organizational perspective. This study delves into the fire resilience of high-tech electronics plants, drawing particular attention to the imperative of fire prevention, detection, and mitigation measures. The discourse is framed within the paradigm of design-for-sustainability thinking, underscoring the integration of sustainable practices in enhancing fire resilience. By examining the interplay between various functional and organizational system composition elements, three key aspects are extracted to enhance fire resilience: (1) fire protection design measure improvement, (2) sustainable and fireproof construction facility, and (3) organizational management support. The findings contribute to a better understanding of the complex nature of high-tech electronics plants, and provide actionable insights for enhancing both fire resilience and sustainable practices in these establishments. [ABSTRACT FROM AUTHOR]

The construction industry performs many tasks scheduled and related to other activities. Companies must optimize their operations, increase efficiency, eliminate waste, and deliver better products to their customers. As a result, this study aims to identify the main challenges associated with the implementation of the Lean Construction model in small and medium-sized construction companies and optimize the implementation of this process using statistically-focused mathematical models. This study was conducted using the partial least squares (PLS-SEM) method and also carried out the principal component analysis to optimize Lean barriers so that they can be properly implemented in the construction industry. The most important obstacles are displayed, as well as the relationships with other factors. Significant relationships have been discovered between the barriers to Lean construction adoption, especially with regard to corporate culture, communication, training, leadership, and the influence of mentality on business and employee adaptability. Construction executives and managers can make well-informed policy and strategic decisions by having a thorough understanding of the main barriers to Lean implementation. This information enables them to focus on the implementation of Lean technologies in projects, to increase market competitiveness, reduce waste and enhance overall work efficiency. [ABSTRACT FROM AUTHOR]

Financial technology (fintech) innovations are transforming banking globally. Their adoption poses new opportunities and risks for Islamic banks with unique requirements. This study examines fintech's implications for risk management effectiveness in United Arab Emirates Islamic banks. A conceptual model incorporates factors like fintech adoption, emerging capabilities, digital maturity, and IT security influencing outcomes. Primary data were collected via survey from nine UAE Islamic banks and analyzed using PLS-SEM. Results show that fintech adoption and capabilities positively impacted effectiveness, while digital transformation alone did not. The findings also show that the regulatory environment did not moderate relationships as hypothesized. The findings provide empirical evidence on optimizing risk management through responsible fintech enablement and oversight alignment in the UAE context. [ABSTRACT FROM AUTHOR]

Assessment for learning (AFL) has been associated with curriculum and teaching reform for the past three decades. However, studies on undergraduate students' perceptions of their mathematics teachers' AFL practices are still very limited in the Chinese higher education context. This quantitative study investigated three independent variables—teacher formal feedback and support, interactive dialog and peer collaboration, and learning-oriented assessment—that influence undergraduate students' ability to take responsibility for their learning through the mediation of the factor of active engagement with subject matter in first-year mathematics courses. One hundred and sixty-eight students from a Chinese "double-first-class" university were recruited to provide valid questionnaire data using the convenience sampling method. Partial least-squares structural equation modeling (PLS-SEM) was used to analyze the data. The results showed that interactive dialog and peer collaboration, as well as learning-oriented assessment, have a direct effect on students' active engagement with the subject matter and an indirect effect on undergraduate students taking responsibility for their learning in first-year mathematics courses. In addition, learning-oriented assessment was the biggest factor influencing undergraduate students' ability to take responsibility for their learning in first-year mathematics courses. This study contributes by developing a conceptual model and providing new insights into Chinese higher education sectors on factors that can improve undergraduate students' ability to take responsibility for their learning. [ABSTRACT FROM AUTHOR]

The sustainability of tourism activities faces many challenges. Furthermore, in the context of the Sustainable Development Goals (SDGs) and their overall slow progress, tourism-related goals and targets are underachieved. To address these challenges, this study has recognized sporting events as an opportunity to enhance the socio-economic activities in tourism destinations during off-season periods. More specifically, the aim of this study is to explore the dynamics of off-season destination resilience through small-scale running events, focusing on three key aspects: the strategies employed by organizers, the synergy created within the community, and the sustainable outcomes. Drawing on insights from qualitative interviews with twenty-five running event organizers across Greece, supported by the Delphi method to confirm and validate the results, their perceptions of the economic and socio-cultural dimensions are explored. This study identifies a number of strategies that enrich running events and can contribute to the sustainability of off-peak destinations. Additionally, the concept of synergy is identified and explored, emphasizing the importance of local engagement, participant encouragement, and community collaborations. These findings provide a comprehensive understanding of how these factors can influence the sustainability of off-peak destinations. To further validate and extend these findings, the second part of this study performs a quantitative analysis using PLS-SEM, involving eighty local authorities in Greece. The results highlight the mediating role of small-scale event enrichment strategies on the relationship between synergy and destination sustainability. This multifaceted approach indicates the dynamics of sustainable tourism, by examining the case of small-scale running events in the off-peak season. The impact of this balanced approach on the broader achievement of relevant SDGs is also supported. The implications of this research, in terms of its strategic and stakeholder orientation for tourism professionals and government agencies, are also discussed. [ABSTRACT FROM AUTHOR]

Environmental sustainability, a pivotal facet of sustainable development, is explicitly emphasized and advocated. The textile and apparel (T&A) industry, which is resource-intensive, faces challenges in transitioning toward an ecologically friendly market. The shift toward sustainability is causing significant changes in consumer lifestyles and cultural practices, resulting in increased uncertainty in pro-environmental behaviors. This study adapts the environmentally responsible behavior (ERB) model to investigate how consumers' subjective and objective domain-specific environmental knowledge (SUEK and OBEK) and personality traits—including personal environmental responsibility (PER), eco-centric and anthropocentric environmental beliefs (EEBs and AEBs), and internal and external environmental loci of control (IN-ELOC and EX-ELOC)—influence sustainable consumption intention (SCI) for T&A products. The data from 212 completed online survey questionnaires were analyzed using a two-stage partial least squares structural equation modeling (PLS-SEM) approach. The findings reveal that participants' SUEK related to the T&A industry, and their PER and EEBs positively influence their SCI for T&A products. This research contributes to the literature on consumer SCI in the T&A industry and adds value to the existing ERB model, providing insights for brands, retailers, educators, policymakers, and stakeholders striving for a more sustainable industry. [ABSTRACT FROM AUTHOR]

The growth dynamics of Ma bamboo (Dendrocalamus latiflorus Munro) are intricately linked to nitrogen availability, a pivotal nutrient. Escalating global nitrogen deposition, primarily driven by anthropogenic factors, is reshaping nutrient fluxes and productivity within forest and bamboo ecosystems. Such alterations bear significant implications for the growth equilibrium and yields of rapid-growth species such as Ma bamboo, thereby influencing their sustainable management strategies. This investigation delves into the responses of Ma bamboo under varying nitrogen deposition scenarios (0 g·clump−1, 11.2 g·clump−1, 13.5 g·clump−1, and 22.5 g·clump−1), examining stoichiometric attributes in bamboo shoots, leaves, and soil across distinct growth phases. Our empirical findings reveal that in the early growth stage, nitrogen enrichment markedly augmented N and P concentrations in the foliage and shoots, alongside a corresponding enhancement in soil P content. This was paralleled by a substantial reduction in the C:N ratio in leaves and the C:P ratio in shoots and soil, indicating an amplified uptake of P and N in both plant and soil matrices. During the middle stage, all nitrogen treatments boosted nitrogen levels across various plant tissues, while concurrently, soil C content exhibited a notable decline with increased nitrogen supplementation. In the late stage, leaf and soil N content continued to ascend; however, alterations in C content in both soil and leaves were not pronounced. Contrastingly, N and P levels in shoots showed a gradual decrement. Yield assessments disclosed that during the early stage, the N3 treatment (22.5 g·clump−1) not only delayed shoot emergence by 14 days but also surged the yield by 115.87% in comparison to the control (CK). In the late stage, the N2 treatment (13.5 g·clump−1) extended emergence duration by 10 days, with the yield apex under N3 treatment (22.5 g·clump−1) evidencing a 116.67% yield augmentation over CK. In summation, this study elucidates the stoichiometric balancing and distribution strategies within the plant–soil system of Ma bamboo, investigating its adaptability and responsive feedback to diverse nitrogen deposition gradients. This research contributes to a deeper understanding of plant nutrient adaptation mechanisms in the context of nitrogen deposition, enriches the discourse on plant population stoichiometry, and offers valuable insights and scientific underpinnings for broader-scale community or ecosystem stoichiometry studies. [ABSTRACT FROM AUTHOR]

Background: Job crafting is a proactive behavior displayed by workers to modify the boundaries of their roles, adapting them to their own needs, which is positively associated with motivational processes and negatively associated with mechanisms that compromise well-being. Methods: Starting from this framework, the objective of this study is to assess the strategic role of job crafting in the relationship between job insecurity and work engagement, psychological well-being and emotional exhaustion, and also to specifically investigate how much age impacts these behaviors and the relationship between job crafting and employability. The hypotheses were explored using partial least squares structural equation modeling (PLS-SEM) and validated using 5000 bootstrap re-samples, differentiating the models by the type of contract and organization of origin. Results: The results confirm the crucial role of job crafting in improving individual well-being and increasing processes of higher expendability in the job market and its protective role against stress mechanisms. Conclusions: Therefore, the results highlight the potentially beneficial effects of job crafting interventions, which are capable of providing tools to facilitate individual and cultural growth. [ABSTRACT FROM AUTHOR]