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To enhance the effectiveness of environmental cause-related marketing (CRM) message design, this study identifies two key factors: descriptive social norms (provincial vs general) and temporal framing (near-future vs distant-future). Drawing upon construal level theory, it examined the synergy between the type of social norms and suitable temporal framing, matched at similar construal levels, to optimize CRM’s impact by positively influencing consumer purchase intentions and engagement in environmentally sustainable behaviors.

A full factorial 2 × 2 online experiment was conducted.

The findings showed that aligning message elements at a low level of construal significantly increases message persuasiveness, enhancing purchase intentions and pro-environmental behaviors. Conversely, matching elements at high levels of construal does not necessarily lead to synergistic effects. Notably, misaligned message elements – where one operates at a higher construal level and the other at a lower level – can generate cognitive resistance, potentially leading to adverse backlash effects. Messages that paired provincial norms with distant future framing were deemed least persuasive, resulting in diminished purchase intentions and pro-environmental behaviors.

This study refines approaches in environmental CRM by illustrating that descriptive social norms alone do not achieve desired impacts. It emphasizes aligning message elements at a low construal level to boost effectiveness and synergistic outcomes. The research also highlights a need to critically reassess matching effects at higher construal levels, thus enriching environmental CRM message strategies.

Artificial Intelligence (AI) has revolutionized teaching and learning methods in higher education, especially in English language teaching and learning. This chapter contributes to the existing knowledge by exploring how AI has developed within the framework of teaching and learning of English, highlighting the challenges, dangers, and moral issues associated with its application. The typical classroom environment has significantly changed because of the integration of AI-powered tools and platforms in English instruction. Chatbots, automated grading systems, and language learning apps driven by AI have streamlined language education, increasing its effectiveness and accessibility. But these benefits accompany a variety of challenges and worries. Ethical concerns about data privacy, algorithmic biases, and the depersonalization of education arise as AI becomes more deeply ingrained in educational methods. Reliance on AI may inadvertently exacerbate educational disparities as long as learners' access to technology and its advantages remain unequal. In addition, significant thought must be given to the ethical ramifications of AI-generated content as well as the possible loss of human connection in language learning settings. This chapter examines these dangers and challenges and makes the case for a well-rounded strategy that maximizes AI's benefits while minimizing any potential downsides. Together, educators and legislators need to create moral guidelines that balance the potential of AI with human-centered learning experiences. To ensure responsible and fair AI integration and promote an inclusive learning environment that prioritizes students' holistic development while exploiting technology breakthroughs, comprehensive assessment of the associated obstacles, risks, and ethical issues is necessary.

This study aims to explore the role of social media visual posts (known as foodstagramming) on restaurant visit intention. Drawing on the heuristic–systematic model and normative focus theory, this research introduces a framework that assesses the effects of key foodstagramming attributes – vicarious expression, aesthetic appeal and post popularity – and the mediating roles of goal relevance and mimicking desire, in the process.

Structural equation modelling was performed to test the proposed model using a sample of tourists (n = 377) and residents (n = 341). Multi-group analysis was performed to compare the differences between these groups.

Results reveal that mimicking desire and goal relevance influence restaurant visit intention; however, mimicking desire has a stronger influence than goal relevance. Little difference was found between the tourist and the resident groups in the proposed relationships, except that vicarious expression positively influences mimicking desire in the tourist group but not in the resident group.

This study guides restauranteurs and social media influencers (foodstagrammers). It shows that consumers value the textual content and aesthetic appeal of photos over the popularity of a post. It also indicates that vicarious expression is more important for tourists than for residents.

This research advances social media marketing literature by proposing a new information processing framework. To the best of the authors’ knowledge, this study is one of the first studies to explore the impact of visual post attributes on individual decision-making behaviours through socially acceptable norms.

Workforce agility (WFA) is an emergent research topic in volatile times. However, there is a lack of research in understanding the leadership dimension that triggers such an attribute in organizations. Our study aims to understand the impact of workforce agility on empowering leadership behavior and employee performance dimensions (task performance, contextual performance and counterproductive work behavior).

We collected data from 236 employees using reliable, validated scales and conducted various statistical analyses.

Our results demonstrated that WFA (1) partially mediated the relationship between empowering leadership and contextual performance (CP), (2) has not mediated the relationship between empowering leadership and counterproductive behavior (CWB) and (3) mediated the relationship between empowering leadership and task performance (TP).

Our research has practical implications for management practitioners. It suggests hiring and developing an agile workforce through appropriate training and development programs can significantly impact organizational performance. Furthermore, it provides insights into building leadership capabilities that sustain workforce agility practices, empowering leaders to make informed decisions.

Our research fills a significant gap in the existing literature by exploring the effects of WFA on leadership and performance. This novel approach provides a fresh perspective on the dynamics of organizational behavior, making it a valuable addition to the field.

We explored whether (1) an informational intervention improves ratings of individuals on the autism spectrum (IotAS) in a job interview by curbing salience bias and whether expert-based influence amplifies this effect (Study 1); (2) the effect of disclosure of autism on ratings depends on a candidate’s presentation as IotAS or neurotypical (Studies 1 and 2) and (3) social desirability bias affects ratings of and emotional responses to disclosers (Study 2).

In two studies, participants, randomly assigned to experimental conditions, watched a mock job interview of a candidate presenting as an IotAS or neurotypical and reported their perception of his job suitability and selection decision. Study 2 additionally measured participants’ traits associated with social desirability bias, self-reported emotions and involuntary emotions gauged via face-reading software.

In Study 1, the informational intervention improved ratings of the IotAS-presenting candidate; delivery by an expert made no difference. Disclosure increased ratings of both the IotAS-presenting and neurotypical-presenting candidates, especially the former, and information mattered more in the absence of disclosure. In Study 2, disclosure improved ratings of the IotAS-presenting candidate only; no evidence of social desirability bias emerged.

We explain that an informational intervention works by attenuating salience bias, focusing raters on IotAS' qualifications rather than on their unexpected behavior. We also show that disclosure is less helpful for IotAS who behave more neuronormatively and social desirability bias affects neither ratings of nor emotional responses to IotAS-presenting job candidates.

The retail industry has experienced significant transformations driven by digitalization and the challenges posed by the COVID-19 pandemic. This chapter aims to explore the impact of digitalization on retail business models and understand consumer purchasing habits during emergencies. This chapter will examine the influence of scarcity and competitive arousal on consumer choices, the effects of stock-outs on brand and store preferences, price sensitivity, waiting times and the shift towards online shopping. Additionally, it will address concerns about social exclusion in digital channels and the potential for bridging the gap between offline and online shopping experiences.

This paper aims to extend the literature on social proof by looking at the effectiveness of social proof on behaviour change for environmental benefit.

The research is based on real case studies currently intended to encourage behaviour change among residents of a large UK city. An initial study assesses the motivation displayed within each case study. A second study then examines whether recipients recognise their own motivation in each case study.

Results indicate that participants did not recognise their own motivation in the case studies that were expected to be most similar to them, suggesting that recipients do not recognise “social proof” according to motivation. However, a relationship is observed between recipients’ gender and the gender of the case studies.

Demographics appear to be a better basis for social proof than motivation. This paper recommends several future avenues for further exploration, including using case studies that represent a wider range of characteristics (such as demographics). The current range of stimulus materials is limited, as these are real materials currently being used in a large UK city.

The results indicate that portraying motivation is not a good basis for using the social proof principle. Instead, social marketers ought to focus on representing similarity to the intended audience based on other characteristics such as gender.

The research contributes a new direction in this field, using Self-determination Theory to match social proof examples to recipients.

Influencers in physical activity and sports have gained significant prominence in promoting health and well-being via digital social networks. This research investigates the impact of athlete influencers on sports perceptions, with a focus on korfball. Using korfball as a representative sport minimizes biases, allowing a nuanced exploration of athlete-generated content’s direct influence on viewer attitudes.

A questionnaire survey with 319 respondents explores variables like athlete attitude, attractive appearance, social media profile attitude, emotional engagement toward korfball, korfball perception, korfball interest and general sports attitude. Structural equation modeling analysis examines relationships among these variables.

The study delves into the complex interplay among athlete attitude, social media attitude and emotional engagement toward sports, emphasizing the pivotal role of authenticity in fostering deeper connections. Contrary to expectations, athlete attractiveness did not significantly influence viewer priorities, signaling a notable shift towards valuing authenticity and performance. Furthermore, the research explores how general sports attitudes moderate relationships between sports perceptions and interest, offering critical insights for sports sociology and marketing.

This study innovates by focusing on korfball, emphasizing authenticity over attractiveness and providing insights into the evolving dynamics of sports marketing and consumer behavior in the digital age. This research evidences the profound impact of the digital age on sports engagement, laying a foundation for future studies and practical applications in sports sociology, marketing and consumer behavior.

The main objective of this article is to visualize the structure and trends of pro-environmental behavior (PEB) between 1999 and 2023 through mapping and in-depth analysis. The aim is to analyze PEB, which has received considerable academic attention in recent years due to its key role in the conservation of the environment and the protection of local communities in tourist destinations. This paper provides an important summary of the recent research that has explored the role that tourists have in protecting the environment through PEB.

This study presents a visual analysis of 2005 scholarly articles between the years 1999 and 2023 related to PEB. Using the knowledge mapping based on VOSviewer it presents the current status of research, which includes the analysis of citation analysis, co-citation analysis, co-citation network and longitudinal analysis.

PEB is an emerging topic due to its relevance to protecting the environment in the context of travel. The citation and co-citation analysis show the relevance of the behavior of tourists with regard to protecting the environment. The co-word analysis highlights the current significance of research concerning green hotels and the destination image of environmentally responsible destinations.

This study sheds light on the current research progress of PEB in the context of tourism through a comprehensive analysis (citation, co-citation and co-word). In addition, we provide theories and factors that have been previously used to study PEB in the context of tourism. The findings contribute to a broad and diverse understanding of the concept of PEB, which can provide important insights for policymakers in formulating management strategies and policies aimed at reducing environmental impacts in destinations.