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The study aims to delve into the influence of tourism on the happiness of city residents, grounded in the overarching concept of livability. It posits that prioritizing residents’ happiness is crucial for effectively addressing cities’ challenges in balancing development and distinctiveness. The study pursues three primary objectives: first, establishing a potential correlation between city tourism and residents’ happiness; second, examining the contributing factors to this correlation and third, identifying potential mediators that influence the connection between tourism development and residents’ happiness.

Using a quantitative single-case design and partial least square analysis, the study underscores the intricate nature of various tourism development components. It specifically explores the roles of cognitive flexibility and social comparison in shaping the relationship between city tourism and happiness.

The findings make a distinctive contribution by revealing that not all tourism domains contribute positively to happiness. Furthermore, it sheds light on how tourism development impacts the emotional and cognitive dimensions of happiness, emphasizing the adverse effects of inequality and feelings of insecurity.

The study acknowledges certain constraints, including its employment of a cross-sectional design, the issue of generalizability, potential sampling bias and the reliance on subjective measurements when evaluating constructs like happiness and satisfaction with life. Using self-reported data introduces susceptibility to social desirability bias and individual perceptual differences, potentially resulting in measurement inaccuracies. Nevertheless, despite these limitations, the study’s findings offer valuable insights that contribute to both theoretical advancement and the realm of urban management.

The findings elucidated through the mediation analyses conducted for hypotheses three to seven shed light on the significant roles played by mental adaptation and social comparison mechanisms in shaping individuals’ happiness. These insights substantially enhance our understanding of this field. Particularly, the dimensions of social and environmental impact within tourism appear to counterbalance the positive effects stemming from the economic and cultural aspects. This suggests a scenario where an excessive focus on tourism development could potentially undermine the overall livability of the city. These outcomes further indicate the necessity for proactive interventions by destination managers. Their efforts should be directed toward enhancing the environmental and social domains, aiming to reinvigorate the sense of community among residents, which appears to be gradually waning.

The outcomes of this study emphasize the utmost significance of prioritizing residents’ happiness above mere considerations of economic growth when formulating efficacious strategies for tourism. By concentrating on the happiness of the local population, a harmonious resonance is established with Sustainable Development Goal 11, which advocates for the creation of habitable cities founded upon the principle that “a city that is not good for its citizens is not good for tourists.” This alignment underscores the interconnected nature of residents’ happiness and the sustainable development of tourism. Moreover, residents’ happiness plays a pivotal role in addressing the challenge that cities face in harmonizing growth and their uniqueness, ensuring competitiveness and sustainability.

The research underscores the need for a people-oriented perspective in urban planning and tourism development initiatives. The study identifies diverse factors impacting residents’ happiness in city tourism, highlighting the complex interplay of environmental, cultural and socioeconomic elements. It emphasizes income’s role but underscores nonmaterial factors and individual preferences. Overall, the study offers timely and valuable insights into the intricate connection between tourism development, residents’ happiness, living conditions and human perception, guiding urban planners and stakeholders.

This paper explores what factors influence household textile washing behaviour and how these factors relate to greenhouse gas emissions during the textile use stage.

A questionnaire survey related to textile summer washing and care behavior was conducted among households in 16 administrative districts of Shanghai. This study used the modified Consumer Lifestyle Approach framework of the washing and care ecosystem. The research hypotheses were established by selecting related factors from four aspects: household demographic characteristics, economy and consumption characteristics, washing machines and detergents characteristics.

First, we have demonstrated how some course factors do not significantly affect greenhouse emissions. None of the demographics, detergent-related activities, economy and consumption constructs significantly affect greenhouse emissions. Second, we have identified that washing machine and related activities has a direct positive effect on GHG emissions. The washing machine is not only the de facto carrier of all washing activities but also the core of washing activities. Washing machine is crucial in reducing greenhouse emissions and adjusting consumer behaviors.

This paper conducts a study related to the washing and care behavior of households in Shanghai. The paper examines the factors influencing household washing behavior and the relationship between these factors and greenhouse gas emissions during the textile use phase.

The purpose of this study was to investigate how and through which social-cognitive constructs, emotions influence healthy food shopping behaviors. Direct effects of those constructs, as well as indirect effects of consumer emotions are considered.

An altered version of the Social Cognitive Theory, including intention, socio-structural factors, outcome expectancies and self-efficacy with the addition of consumer emotions was analyzed using structural equation modeling. Data of 1,181 volunteers were collected in Germany in 2021 through an online survey.

Intention was the most important positive predictor of food choice, while socio-structural factors had the biggest impact on intentions. Those were mostly influenced by self-efficacy, which was strongly predicted by consumer emotions. Outcome expectancies did not influence the current model in any way. Consumer emotions did not directly influence intention, nor actual choice, however showed to be influencing those variables through indirect effects.

Marketers could benefit from these results by incorporating the current findings into existing marketing strategies through targeting a combination of social cognitive constructs, as well as consumer emotions to facilitate healthier food shopping behavior.

Affect has received increasing attention in regards to its impact on healthy eating behaviors in recent years. Less attention has been paid to the mechanisms through which emotions influence healthy nutrition behavior, specifically how consumer emotions influence healthy food shopping behavior.

Research serves to elucidate and tackle real-world issues (e.g. capitalizing opportunities and solving problems). Critical to research is the concept of validity, which gauges the extent to which research is adequate and appropriate in representing what it intends to measure and test. In this vein, this article aims to present a typology of validity to aid researchers in this endeavor.

Employing a synthesis approach informed by the 3Es of expertise, experience, and exposure, this article maintains a sharp focus on delineating the concept of validity and presenting its typology.

This article emphasizes the importance of validity and explains how and when different types of validity can be established. First and foremost, content validity and face validity are prerequisites assessed before data collection, whereas convergent validity and discriminant validity come into play during the evaluation of the measurement model post-data collection, while nomological validity and predictive validity are crucial in the evaluation of the structural model following the evaluation of the measurement model. Additionally, content, face, convergent and discriminant validity contribute to construct validity as they pertain to concept(s), while nomological and predictive validity contribute to criterion validity as they relate to relationship(s). Last but not least, content and face validity are established by humans, thereby contributing to the assessment of substantive significance, whereas convergent, discriminant, nomological and predictive validity are established by statistics, thereby contributing to the assessment of statistical significance.

This article contributes to a deeper understanding of validity’s multifaceted nature in research, providing a practical guide for its application across various research stages.

A large number of studies indicate that coercive forms of organizational control and performance management in health care services often backfire and initiate dysfunctional consequences. The purpose of this article is to discuss new approaches to performance management in health care services when the purpose is to support innovative changes in the delivery of services.

The article represents cross-boundary work as the theoretical and empirical material used to discuss and reconsider performance management comes from several relevant research disciplines, including systematic reviews of audit and feedback interventions in health care and extant theories of human motivation and organizational control.

An enabling approach to performance management in health care services can potentially contribute to innovative changes. Key design elements to operationalize such an approach are a formative and learning-oriented use of performance measures, an appeal to self- and social-approval mechanisms when providing feedback and support for local goals and action plans that fit specific conditions and challenges.

The article suggests how to operationalize an enabling approach to performance management in health care services. The framework is consistent with new governance and managerial approaches emerging in public sector organizations more generally, supporting a higher degree of professional autonomy and the use of nonfinancial incentives.

Drawing on social identity, signalling and stakeholder theories, this paper aims to examine corporate reputation’s (CR) mediating role concerning corporate social responsibility (CSR) and customer loyalty (CL) among Generation Z customers of Nepali commercial banks.

The research applied a cross-sectional survey research design to collect data from 281 customers of Nepali commercial banks. The study used a purposive sampling method to reach the respondents and partial least squares structural equation model was used to test the hypotheses.

The results reveal that CSR significantly influences CR and CL. Likewise, CR positively influences CL. Moreover, CR partially mediates the relationship between CSR and CL. It implies that CSR and CR are critical variables for CL among Generation Z customers of Nepali commercial banks.

This study focuses on understanding the importance of CSR to Nepalese commercial bank managers to create a better customer base by focusing on the CSR dimensions, i.e. economic, environmental and social. It adds to the literature on the theoretical aspect of the study of CSR, particularly in the banking industry.

It has initially investigated CSR as a higher-order construct to explain the meditational mechanism of CR concerning CSR and CL. Moreover, the study examined the issue of endogeneity.

This study has two main objectives. First, to examine the indirect effects of digital platform capability and digital resilience on digital transformation (DT) outcomes for small- and medium-sized enterprises (SMEs), and second, to investigate how digital business model maturity influences these indirect effects.

The study adopts a quantitative design and collects data through a self-reporting survey from individuals in the technological industries. The Partial Least Squares-Structural Equation Modelling (PLS-SEM) and PLS multi-group analysis examine the measurement and structural models and the significance of differences in indirect paths based on the digital business model maturity level, serving as a moderator.

The findings of this study provide valuable insights into the internationalisation of digital SMEs. They indicate that digital platform capability and resilience fully mediate, connecting digital resources to SME growth. The study also confirms the digital business model maturity’s positive and significant moderating effect on these indirect relationships.

This research contributes to the existing literature by focusing on the international outcomes of platform ecosystems in developing markets. It explores how digital platform capability and resilience support the digital transformation of SMEs, considering their vulnerability due to their small size. The study also fills a research gap by investigating the relationship between big data, digital leadership and the international growth of digital platforms. Lastly, it explores the role of digital maturity in the relationships between antecedents, determinants and outcomes of digitalisation.

This paper aims to explain the unwillingness to exchange export knowledge by members of exporters’ networks and provides potential solutions to this problem.

This study uses data from a survey of 301 members of a French exporter’s network to test a set of hypotheses with partial least squares structural equation modeling.

Network participants’ export experience and age have a negative influence on their willingness to exchange knowledge. However, positive attitudes toward the network (perception of network quality, commitment) can mitigate those negative links.

Network members’ unwillingness to exchange knowledge represents a major challenge that threatens the existence of knowledge networks. The findings suggest solutions to this issue for network managers.

This study views knowledge exchange in a network as a risky behavior. It explains why members do not participate in networks. The model shows how contrary forces work and interact to deter or foster knowledge exchange.

This article focusses on the hybrid strategy, a simultaneous combination of cost leadership and differentiation strategy. The study aims to examine the impact of hybrid strategy on firm performance through its anticipated positive effects on process and product innovation. In addition, we study the moderating role of adaptive capacity in the direct relationships of hybrid strategy with process and product innovation.

Structural equation modelling was used to analyse 1,842 Spanish firms with fewer than 250 employees. We randomly selected small and medium-sized enterprises (SMEs) operating in Spain from the Spanish Central Business Directory (2021) database. The overall sample design was based on stratified sampling.

We found that hybrid strategy is positively related to firm performance and to process and product innovation. Additionally, in firms implementing hybrid strategies, process innovation fostered firm performance. Finally, adaptive capacity strengthened the relationships of hybrid strategy with process and product innovation. This sheds light on how and when hybrid strategy is most effective in fostering SME performance.

We highlight that SMEs need to establish strategies that use diverse resources and capabilities and not just generate competitive advantage using one strategy (cost leadership or differentiation strategy). This requires an agile and flexible systems and structures.

Our research provides novel results by proposing the adoption of hybrid strategies instead of pure strategies (cost leadership and differentiation strategy) as a way for SMEs to survive during crises. Unlike “stuck in the middle” strategies, our study demonstrates the importance of hybrid strategies in a comprehensive model that links them to innovation and firm performance, with adaptive capacity being a determining factor.

The distinct characteristics of slow tourism compared to mass tourism determine the differences between slow travelers and mass travelers. This transformation is essential for potential tourists to transition into slow travelers when promoting slow tourism to them. Can travel vlogs, a “fast” way of promoting, achieve such a “slow” transformation? To address this question, the purpose of this paper is to introduce the resonance theory and investigate the impact of resonance with slow tourism vlogs on potential travelers’ destination image and travel intention.

Through the distribution of online questionnaires on site, this study collected a total of 349 valid questionnaires. Subsequently, the researcher used partial least squares structural equation modeling to analyze the data and test the hypotheses.

The research findings indicate that cognitive resonance only positively affected cognitive image, while emotional resonance was positively associated with both cognitive image and affective image. In addition, it was observed that cognitive image and affective image played a positive mediating role between resonance with slow tourism vlogs and travel intention.

This research is pioneering in quantitatively validating the structure linking resonance, destination image and travel intention in the context of slow tourism. By validating the second-order structure of cognitive and emotional resonance, this study underscores the crucial role of resonance in shaping tourists’ transition toward a slow mindset in slow tourism.