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Smart tourism has become an inevitable trend in future tourism development. However, despite significant investment in its technological foundation, little is known about whether and when tourists are willing to be involved in smart tourism. This study explores tourists' willingness to contribute to smart tourism development by empirically examining their intention to share personal information and use smart technology.

Based on construal level theory (CLT), a 2 (far/near spatial distance) × 2 (gain/loss persuasive information frame) × 2 (altruistic/egoistic value orientation) laboratory experiment with different contextual features was designed to examine tourists' willingness to contribute to smart tourism.

Tourists are most willing to share personal information and use smart technologies when spatial distance aligns with information framing, spatial distance aligns with value orientation and information framing aligns with value orientation.

This study provides essential insights for destination management organizations (DMOs) about tourists' perceptions of smart tourism, enabling DMOs to develop more precise marketing strategies to encourage tourists to contribute to smart tourism development and enrich tourists' travel experiences.

This study enriches theoretical knowledge of DMOs' boundaries in encouraging tourists to contribute to smart tourism and provides critical insights into future smart tourism development for researchers and practitioners.

While the fashion industry is beginning to comprehend the commercial imperative for sustainability, it is struggling to address the issues of overconsumption and accompanying packaging. Research indicates that framing of marketing messages makes an impact on consumers’ choices, particularly when it comes to supporting sustainable initiatives from brands. This study aims to investigate the impact of message framing, reference to perceived benefits and green consumer values on their choice of packaging reduction initiatives in the context of online retailing and the subsequent impact on brand attitude.

A 2 (frame: gain/loss) × 2 (reference to perceived benefits: personal/societal) × 2 (green consumer value: high/low) mixed method online experiment was conducted.

Results indicated that how the message is referenced in terms of benefits (personal gain/loss or societal gain/loss) and green consumer values act as moderators between message frame and attitude toward the packaging initiatives, which in turn impact brand attitude.

Overall, the findings contribute to message architecture, insight on consumer behavior, and add to the business case for sustainable packaging for fashion/apparel companies.

Public service announcements (PSAs) have been shown to be effective instruments that raise awareness, educate society, and change behaviors and attitudes. Many governments and organizations have utilized PSAs on social media to promote online safety among children and youth. However, we have limited understanding of the range of topics that these PSAs address and how they present their content to audiences. This study provides an inventory of the types of online safety topics that current PSAs address and a catalogue of the types of persuasive features employed by PSAs.

A content analysis of 220 YouTube PSA videos on online safety was conducted. Various topics under the umbrella of online safety were identified. Guided by the prospect theory and exemplification theory, different persuasive features employed in the PSAs were sought.

The findings highlight that the primary focus of these PSAs is on online safety behaviors and general instructions on online hygiene. Interestingly, nearly half of the videos employ a neutral frame, while a significant portion provides no evidential support. Additionally, video length was associated with the number of views and likes it gathered but not with the number of comments.

The inventory of PSAs can help researchers, practitioners, and policymakers better understand the type of content being produced and disseminated online as well as identify topics that are either over or under-represented. Further, the catalogue of the types of persuasive features employed by PSAs would be helpful in guiding research, practice, and policymaking in the context of creating effective online safety videos.

Stock investing choices of individual investors are predominantly influenced by heuristic biases, leading to sub-optimal choices. Accordingly, this study aims to identify, categorize, validate, prioritize, and find causality among the heuristic biases shaping stock investment decisions of individual investors.

This research offers original contribution by employing a hybrid approach combining fuzzy DELPHI method (FDM), fuzzy analytical hierarchy process (FAHP), and fuzzy decision-making trial and evaluation laboratory (F-DEMATEL) techniques to validate, prioritize, and find causality among the heuristic biases.

Twenty sub-heuristic biases were identified under five main heuristic bias categories. Out of which, 17 were validated using FDM. Further, availability and representativeness within main heuristic categories, and availability cascade and retrievability within sub-heuristic biases were prioritized using FAHP. Overconfidence and availability were identified as the causes among the five main biases by F-DEMATEL.

This study offers the stock investors a deeper understanding of heuristic biases and empowers them to make rational investment decisions.

This paper is the inaugural effort to identify, categorize, validate, prioritize and examine the cause-and-effect relationship among the heuristic biases.

This paper expands on existing analyses of corporate energy and sustainability communication and shows the potential of evolutionary theory to study and conceptualize sustainable corporate communication as niche construction and its transformative and transformational potential.

With a qualitative content analysis of non-financial reporting of energy corporations and a deep dive into one selected case (Yin, 2013) with a two-step categorization of the sustainability related text and (n = 5) expert interviews (QCAmap, Mayring, 2019; Fenzl and Mayring, 2017), the paper reflects on alterations within the organization and in the organization–stakeholder relationships through corporate sustainability communication.

The analytical deep dive into one case of corporate sustainability communication of a multinational energy corporation shows the difference between a transformative and transformational character of corporate communication. The insights from the interviews support the assumption that corporates not only adapt to changes of environmental factors (perturbative communication) but also – however rarely – alter their spatiotemporal relationships with their external environment (relocational communication), so there is a lack of actual transformational communication.

Corporates in the (renewable) energy sector as well as industry networks like gas (infrastructure) suppliers have the potential to impact their environment (stakeholder, energy communities, etc.), change cultural patterns and norms and co-construct new socio-ecological niches through communication. The study presented gives evidence and examples for transformative corporate sustainability communication. On a conceptual level, it offers an innovative framework to understand sustainability as a guiding principle for corporate communication that will stimulate corporate communication research in the future.

This paper aims to identify, examine, and present an empirical research design of behavioral finance of potential investors during Covid-19.

A well-structured questionnaire was designed; a survey was conducted among potential investors using convenience sampling, and 200 valid responses were collected. The research work uses multiple regression and discriminant function analysis to evaluate the influence of cognitive factors on the financial decision-making of investors.

Recency and familiarity bias are proven to have the highest significant impact on the financial decisions of investors followed by confirmation bias. Overconfidence bias had a negligible effect on the decision-making process of the respondents and found insignificant.

Covid-19 is a temporary phase that may lead to changes in financial behavior and investors’ decisions in the near future.

The paper will help academicians, scholars, analysts, practitioners, policymakers and firms dealing with capital markets to execute their job responsibilities with respect to the cognitive bias in terms of taking financial decisions.

The present investigation attempts to fill the gap in the literature on the intended topic because it is evident from literature on the chosen subject that no study has been undertaken to evaluate the impact of cognitive biases on financial behavior of investors during Covid-19.

To most people, money is a motivator, which is robustly true for salespeople. A high love of money attitude predicts university students’ poor academic performance in a business course and cheating in laboratory experiments and multiple panel studies, but money (income) itself does not predict dishonesty. Extrinsic reward undermines intrinsic motivation. Very little research has incorporated the grit construct in the sales literature and explored the relationship between grit and the love of money. Further, a growth mindset and a fixed mindset may also impact salespeople’s job performance. This study aims to explore a brand-new theoretical structural equation model (SEM) and investigate the relationships between individual characteristics (growth and fixed mindsets and grit orientation) and job performance directly and indirectly through a mediator – salespeople’s love of money attitude.

This study uses Qualtrics and collects data from 330 business-to-business (B2B) salespeople across several industries in the USA. This study uses a formative SEM model to test this study’s hypotheses.

First, there are significant correlations among grit, a growth mindset and a fixed mindset, revealing no construct duplication or redundancy. Second, both a growth mindset and grit indirectly enhance job performance through the love of money attitude – a mediator, offering a brand-new discovery. Third, counter-intuitively, a growth mindset and grit do not directly improve job performance. Fourth, grit is significantly and negatively related to the love of money attitude, adding a new twist to this study’s theoretical model. Fifth, a fixed mindset undermines job performance directly but is unrelated to the love of money. Overall, B2B salespeople’s love of money attitude (employee demand) undermines sales personnel’s self-reported job performance (organization demand) in the organization and employee’s supply and demand exchange relationship.

The findings reveal that a growth mindset, a fixed mindset and grit contribute differently to sales personnel’s love of money attitude and job performance in this study’s theoretical model. The love of money serves as a mediator. A commonly accepted belief is that money is a motivator. Money (income) itself and the love of money attitude are two separate constructs. This study’s novel discoveries provide the essential missing monetary-aspirations-to-job-performance link in the literature – ardent monetary aspiration undermines self-reported job performance. This study offers inspiration to help decision-makers make happy, healthy and wealthy decisions and improve performance.

This study aims to provide insights into human–algorithm interaction in revenue management (RM) decision-making and to uncover the underlying heuristics and biases of overriding systems’ recommendations.

Following constructivist traditions, 20 in-depth interviews were conducted with revenue optimisers, analysts, managers and directors with vast experience in over 25 markets and working with different RM systems (RMSs) at the property and corporate levels. The hermeneutics approach was used to interpret and make meaning of the participants’ lived experiences and interactions with RMSs.

The findings explain the nature of the interaction between RM professionals and RMSs, the cognitive mechanism by which the system users judgementally adjust or override its recommendations and the heuristics and biases behind override decisions. Additionally, the findings reveal the individual decision-maker characteristics and organisational factors influencing human–algorithm interactions.

Although the study focused on human–system interaction in hotel RM, it has larger implications for integrating human judgement into computerised systems for optimal decision-making.

The study findings expose human biases in working with RMSs and highlight the influencing factors that can be addressed to achieve effective human–algorithm interactions.

The study offers a holistic framework underpinned by the organisational role and expectation confirmation theories to explain the cognitive mechanisms of human–system interaction in managerial decision-making.

A total of 478 Americans participated in an online survey. Each participant was asked to answer questions about a company randomly assigned from one of 36 companies representing six industries.

This study aims to explain how corporate social responsibility (CSR) and negative corporate ability (CA) associations lead to negative word-of-mouth (WOM) intentions in non-crisis situations. Specifically, this study investigates the mediating roles of revenge and avoidance motives in the relationship between negative CSR and CA associations and the intention to generate negative WOM.

The findings indicate that negative CSR associations have a greater effect on WOM than negative CA associations. Moreover, negative CSR associations stimulate the revenge motive, resulting in stronger intentions to spread negative information, while negative CA associations lead to the avoidance motive, resulting in weaker intentions to spread negative information.

Unlike most previous studies that focused on crises, this study examines how negative CA and CSR associations influence negative WOM in non-crisis situations, shedding light on the roles of motives including the revenge and avoidance. The research fills a gap in the existing literature by demonstrating that negative CSR associations have a greater impact on negative WOM intentions than negative CA associations in non-crisis situations.

Educational policies, integrated practices, obliged strategies and notable benchmarks are always required by the higher educational institutions (HEIs) for operating business ventures into competent boundaries and to preside toward the overall new business density. The same are needed to be evaluated based on student's concerns for road-mapping sustainability. Accordingly, authors conducted present study to identify crucial quality characteristics (measures) under the origins of HEIs based on student's concerns using qualitative medium under Indian economy. The study is presenting critical dimensions and quality characteristics, which are seeking by the students for selecting HEIs for their studies.

Kano integrated-Grey-VIKOR approach is utilized in present study for road-mapping sustainability based on the determination of priority index and ranking. The study utilized three segments of methodology, where in the first segment, Kano technique is implicated to define priority index of quality characteristics. In the second segment, grey sets theory is implicated to capture the perceptions of the respondents. In the third segment, VIKOR technique is implicate to rank the HEIs.

The findings of the study will assist administrators in planning the prominent strategies that can embrace performance traits under HEI, which in turn will participate in growth and development of an economy. The findings have revealed “PPCS, ICMC, TSTR, PICM, AFEP, IMIS as Attractive performance characteristics,” “IEAF, OIAR, INET as One dimensional performance characteristics,” “QTCS, PORE, SIRD as Must-be performance characteristics” and “PQPE, PCTM as Indifferent performance characteristics.” Additionally, “Professional and placement characteristics of institute” is found as the most significant measure inspiring students for admiring engineering institutes. It is found that “Observance of institutional affiliation and recognition” and “Infrastructure, classroom management and control methods” are found as the second significant measures. “Patterns of question papers and evaluation medium” and “Personal characteristics of teacher and management” are found as the least competent characteristics admiring stakeholders for selecting HEI.

The present study can assist administrators in drafting refined policies and strategies for practising quality outputs by HEI. The study suggested critical quality characteristics, which in respond will aid in attracting more number of students toward educational institutes. A study under Indian context is demonstrated for presenting critical facts and attaining higher student's enrolment rates.