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The purpose of this study is to provide an optimal joint strategy of multi-period pricing and sales effort for a retailer with a logit choice demand in an integrated channel.

Customer demand is characterized by a logit choice model, it varies over time and is influenced by price and sales effort. The multi-period decision model for the retailer is constructed using a discrete-time dynamic programming method to determine the optimal price and sales effort in each period.

When the inventory level does not exceed a certain threshold, decreasing price and increasing sales effort over time or as inventory level increases are the optimal strategies. However, once the inventory level exceeds the threshold, the optimal strategy is to maintain both price and sales effort constant as the inventory level changes or to increase price and decrease sales effort over time. Additionally, the greater the influence of sales effort on demand or the higher the arrival rate of customers, the higher the optimal price and the greater the optimal sales effort level.

This study contributes to the existing research on dynamic pricing and sales effort in integrated channels by incorporating a logit choice model. Furthermore, it provides valuable management insights for retailers operating in an integrated channel to make pricing and sales effort decisions based on inventory level and time period.

This study aims to examine the influence of imposter syndrome on women’s careers in the hospitality and tourism industry drawing on the role congruity theory of prejudice.

Employing cross-sectional design, this research analyzed quantitative data from 574 women at various managerial levels using the Structural Equation Modeling (SEM) technique.

The results show that imposter syndrome significantly impacts women employees’ engagement and organizational commitment. The study found that higher levels of diversity management and female role models have a stronger moderating effect on the relationship between imposter syndrome, career expectations, work-family balance, employee engagement, career advancement and organizational commitment whilst lower levels of diversity management and female role models have a weaker moderating effect on these relationships.

This study presents a new theoretical perspective on female employees’ challenges to career advancement. It expands the knowledge of imposter phenomenon and role congruity theory of prejudice, illustrating how imposter syndrome can be influenced not only by individual traits but also by institutional, situational or stereotypical factors.

This work provides valuable insights for hotel policymakers and managers to implement policies that alleviate imposter syndrome and contribute to women’s career development and gender equality in workplaces.

This study can serve to raise awareness of women’s issues in the workplace and offer insightful guidance to organizations to promote diversity and women’s leadership. These pertain to how realistic human resources policies can be used to promote the well-being of hospitality and tourism women employees.

This paper aims to propose a bed and breakfast (B&B) recommendation method that takes into account review timeliness and user preferences to help consumers choose the most satisfactory B&B.

This paper proposes a B&B ranking method based on improved intuitionistic fuzzy sets. First, text mining and cluster analysis are combined to identify the concerns of consumers and construct an attribute set. Second, an attribute-level-based text sentiment analysis is established. The authors propose an improved intuitionistic fuzzy set, which is more in line with the actual situation of sentiment analysis of online reviews. Next, subjective-objective combinatorial assignments are applied, considering the consumers’ preferences. Finally, the vlsekriterijumska optimizacija i kompromisno resenje (VIKOR) algorithm, based on the improved score function, is advised to evaluate B&Bs.

A case study is presented to illustrate the use of the proposed method. Comparative analysis with other multi-attribute decision-making (MADM) methods proves the effectiveness and superiority of the VIKOR algorithm based on the improved intuitionistic fuzzy sets proposed in this paper.

Proposing a B&B recommendation method that takes into account review timeliness and user customization is the innovation of this paper. In this approach, the authors propose improved intuitionistic fuzzy sets. Compared with the traditional intuitionistic fuzzy set, the improved intuitionistic fuzzy set increases the abstention membership, which is more in line with the actual situation of attribute-level sentiment analysis of online reviews.

Digital platform work monitored by algorithms is increasingly supplementing or substituting standard employment. Though gig workers are faced with the vulnerable, fragile and precarious digital platform work environment, the reason why gig workers remain highly willing to show good task performance has been so far unexamined. Building upon the reciprocity of the social exchange theory, this study aims to explore the antecedents and boundary condition of facilitating gig workers’ task performance.

First, to minimize common method variance, decline spurious mood effects and ensure data robustness, we conducted a two-wave time-lagged survey and collected 269 survey responses from gig workers on different gig platforms in China (e.g. Meituan, Eleme, Didi, Credamo, Zaihang) at two time nodes. Second, abiding by two stage procedures of the PLS-SEM (partial least square structural equation model) approach, we analyzed a moderated mediation model in the digital platform work context.

Results present that both platform work remuneration and flexibility help gig platforms develop an affective trust relationship with gig workers, thus encouraging them to repay the platform by performing platform tasks well. Algorithmic monitoring shows a “double-edged sword” moderating role since it weakens the indirectly positive relationship between platform work remuneration and task performance via affective trust but enhances the indirectly positive relationship between platform work flexibility and task performance via affective trust.

Understanding the importance of remuneration and flexibility in developing affective trust can help platforms design effective human resource management (HRM) strategies that enhance worker motivation of maintaining high engagement and performance under precarious working conditions. Additionally, optimizing the “double-edged sword” moderating role of algorithmic monitoring makes it more humanized, enhancing the efficiency with these HRM strategies and making both workers and platforms beneficial.

These findings offer an affective trust-based explanation for the mechanism of maintaining high work performance motivation in the nonstandard and precarious employment from the social exchange perspective, while understanding the (de)humanized aspect of algorithmic monitoring by revealing its “double-edged sword” moderating role.

Online food delivery has been prevalent in recent years worldwide, especially during the COVID-19 pandemic, and people's consumption behaviors have changed significantly. This study aims to investigate the consumption behavior of young adults using online food delivery platforms during the COVID-19 pandemic and focuses on the dominant factors influencing their decision to use online food delivery platforms.

Semi-structured interviews including 14 young adults aged 18–25 living in Hong Kong were conducted to collect data about their perspectives on online food delivery platforms in five areas. This research adopted the stimulus-organism-response model (S-O-R model) to analyze how the factors influence young adult users' loyalty and satisfaction with online food delivery platforms.

Thematic analyses revealed that young adults were attracted to online food delivery platforms for their numerous benefits. They had a high frequency of usage and significant spending. Usability, usefulness, satisfaction and loyalty influenced young adults' behaviors on online food delivery platforms. Participants were overall satisfied with their experiences, but platforms still had room for improvement.

Few prior studies investigated the factors affecting the consumer experience and behavioral intention of online food delivery for young adults in Asia. This study contributes to understanding young adults' experiences and problems with online food delivery platforms. It provides practical insights for system engineers and designers to improve the current services and for the governments to enhance the existing regulatory loopholes.

The stereotypical assumptions of what it means to be hegemonically masculine and to be a leader are aligned in current society, potentially creating role incongruity for anyone who does not fit into this definition. The purpose of this study is to investigate whether masculine and feminine leadership traits of men and women hospitality managers affect employees’ intention to trust leaders and organizational attractiveness.

Explanatory mixed methods were used. First, two experiments (Study 1 = woman manager, n = 137; Study 2 = man manager, n = 117) were conducted with current hospitality employees to test the interaction of masculine versus feminine enactment and the leadership gender composition (3%, 23% or 53% women) on organizational attractiveness and intent to trust the leader. Results did not align with the theories; therefore, three focus groups were held with 13 current hospitality employees.

Results indicate a shift toward the preference for communal (feminine) characteristics in hospitality leadership with a balance of masculine traits.

The influence of managers’ gender-related behaviors on trust and organizational attractiveness goes beyond their physical gender traits, indicating that gender plays a more crucial role than previously understood.

By using role congruity theory and hegemonic masculinity, this study offers a nuanced understanding of masculine and feminine gender enactment and broadens leadership theory by including the perspectives of nonhegemonic men and assertive women.

This study aims to gain insights into the drivers and inhibitors of proenvironmental behaviors (PEB) among Gen Z tourists through the lens of the goal-framing theory (GFT) and the motivation–opportunity–ability (MOA) framework. It also aims to propose interventions for promoting proenvironmental tourist behaviors.

A qualitative approach was adopted, building on 20 in-depth interviews with Swedish teenagers. The thematic data analysis was guided by a conceptual model integrating MOA and GFT.

The findings indicate that teenagers primarily lack motivation for eco-friendly travel. Their ability is hindered by limited knowledge, while low involvement in travel decisions and unsupportive destination norms restrict their opportunities. Overcoming these challenges requires interventions that boost engagement in PEB through informational and structural strategies, making eco-friendly options more affordable, efficient, enjoyable and desirable.

To the best of the authors’ knowledge, this study is among the first to combine MOA and GFT, providing an in-depth exploration of the drivers and inhibitors of proenvironmental travel among Gen Z tourists.

This article aims to provide a deeper understanding of the challenges clinical supervisors’ experience when supervising students’ professional learning in the workplace.

Qualitative interviews were conducted with 13 healthcare professionals, who are experienced clinical supervisors. They were employed either in a hospital ward or in one of two municipal care units.

The findings showed that clinical supervisors must navigate a complex landscape of challenges to ensure students’ professional learning. They had to balance their regular duties with the time and effort required for supervision. Prominent challenges were ensuring students met their learning objectives and determining when to allow students to handle tasks independently. The supervisors also faced challenges that were beyond their control. Their workplace conditions were not designed to accommodate students effectively. They struggled with negative attitudes from colleagues towards student supervision and they wanted the clinic managers to be more involved. The gap between the university’s educational demands and the realities of the workplace also presented supervisors with a significant challenge.

Apart from unique empirical material depicting clinical supervisors’ experiences of student supervision, the value of this study lies in the recommendation that supervisors have clear requirements from higher educational institutions, but of equal importance is that these requirements align with the conditions in the workplace. Further studies are necessary to understand the role that workplace conditions play for clinical supervisors in creating supportive learning environments that facilitate students in their journey to becoming established professionals.

Publicly funded healthcare systems struggle to govern and determine how finite resources should be allocated in relation to political goals within a pre-determined budget. Primary healthcare (PHC) has a central multipurpose function, not least in terms of political strategies, but PHC governance is still largely underexplored. The aim is to explore how politicians responsible for making decisions pertaining to healthcare coverage navigate the governance of public PHC and disentangle it in the form of narratives based on different types of underlying rationales.

Semi-structured interviews were conducted with 15 politicians from 3 Swedish regional healthcare authorities. The data were analysed abductively based on scientific, clinical and cultural rationales using thematic content analysis.

Our study provides insights into how PHC’s multipurpose function implicates tensions between politicians' different responsibilities regarding healthcare coverage. It shows how politicians navigate various coexisting rationales, with some being more dominant than others and where tensions also exist between them. In this balancing act, they create narratives addressing different stakeholders and priority-setting dilemmas, reflecting the diverse rationales. Our study reveals that politicians play a crucial role in PHC governance and priorities, balancing rationales that might otherwise become overly dominant.

This paper contributes new knowledge by displaying how politicians balance tensions within and between rationales through different narratives regarding goals/commissions, problematic situations and preferred solutions in PHC governance.

The purpose of this exploratory qualitative case study is to gain a deeper understanding of teacher experiences and perspectives of ChatGPT as a pedagogical tool.

This qualitative exploratory case study examined the benefits and concerns of using ChatGPT for curriculum and instruction. Approximately 3,000 graduate education students completed a survey and an invitation to participate in focus groups. Purposive sampling criteria included graduate education students holding a current teaching certificate and actively teaching in a K-12 setting. The sample resulted in 225 survey respondents, with 12 teachers from this group also participating in three focus group sessions. Data analysis involved descriptive statistics for the survey data and inductive thematic analysis was used to identify themes from the focus group transcripts.

Results suggest ChatGPT saves teachers time, expedites access to resources, helps create lessons and is a resource for student learning while concerns arose regarding artificial intelligence (AI) and student cheating. As teachers’ comfort level with ChatGPT increased, their perception of AI as a useful pedagogical tool increased and their perception of ChatGPT as an academic hindrance decreased.

Results from this study are not generalizable; however, the description provided allows for transferability to similar populations.

This study provides guidelines for a balanced approach for policies regarding AI in the K-12 setting and using ChatGPT an instructional tool while providing clear communication regarding unethical practices.

This study provides guidelines for framing teacher training in the technology acceptance model and providing a balanced approach for implementing AI policies while promoting using ChatGPT and other AI technologies for curriculum and instruction in the K-12 classroom.