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This paper aims to gauge developers’ perspectives regarding the participation of the public and anonymous crowd testers worldwide, with a range of varied experiences. It also aims to gather their needs that could reduce their concerns of dealing with the public crowd testers and increase the opportunity of using the crowdtesting platforms.

An online exploratory survey was conducted to gather information from the participants, which included 50 mobile application developers from various countries with diverse experiences across Android and iOS mobile platforms.

The findings revealed that a significant proportion (90%) of developers is potentially willing to perform testing via the public crowd testers worldwide. This on condition that several fundamental features were available, which enable them to achieve more realistic tests without artificial environments on large numbers of devices. The results also demonstrated that a group of developers does not consider testing as a serious job that they have to pay for, which can affect the gig-economy and global market.

This paper provides new insights for future research in the study of how acceptable it is to work with public and anonymous crowd workers, with varying levels of experience, to perform tasks in different domains and not only in software testing. In addition, it will assist individual or small development teams who have limited resources or who do not have thousands of testers in their private testing community, to perform large-scale testing of their products.

The aim of this study is to examine the behavioral intention (BI) to adopt the Coinbase Wallet by Spanish users.

A survey was administered to individuals residing in Spain between March and April 2021. There were 301 questionnaires analyzed. This research applies a new predictive model based on technology acceptance model (TAM) 2, the unified theory of acceptance and use of technology (UTAUT) model, the theory of perceived risk and the commitment trust theory. A mixed partial least squares structural equation modeling (PLS-SEM)/fuzzy-set qualitative comparative analysis (fsQCA) methodology was employed for the modeling and data analysis.

The results showed that all the variables proposed have a direct and positive influence on the intention to use a Coinbase Wallet. The findings present clear directions for traders, investors and academics focused on improving their understanding of the characteristics of these markets.

First, this study addresses important concerns relating to the adoption of crypto-wallets during the global pandemic. Second, this research contributes to the existing literature by adding electronic word of mouth (e-WOM), trust, web quality and perceived risk as new drivers of the intention to use the Coinbase Wallet, providing unique and innovative insights. Finally, the study offers a solid methodological contribution by integrating linear (PLS) and nonlinear (fsQCA) techniques, showing that both methodologies provide a better understanding of the problem and a more detailed awareness of the patterns of antecedent factors.

This research proposes to organise and distil this massive amount of data, making it easier to understand. Using data mining, machine learning techniques and visual approaches, researchers and managers can extract valuable insights (on guests' preferences) and convert them into strategic thinking based on exploration and predictive analysis. Consequently, this research aims to assist hotel managers in making informed decisions, thus improving the overall guest experience and increasing competitiveness.

This research employs natural language processing techniques, data visualisation proposals and machine learning methodologies to analyse unstructured guest service experience content. In particular, this research (1) applies data mining to evaluate the role and significance of critical terms and semantic structures in hotel assessments; (2) identifies salient tokens to depict guests' narratives based on term frequency and the information quantity they convey; and (3) tackles the challenge of managing extensive document repositories through automated identification of latent topics in reviews by using machine learning methods for semantic grouping and pattern visualisation.

This study’s findings (1) aim to identify critical features and topics that guests highlight during their hotel stays, (2) visually explore the relationships between these features and differences among diverse types of travellers through online hotel reviews and (3) determine predictive power. Their implications are crucial for the hospitality domain, as they provide real-time insights into guests' perceptions and business performance and are essential for making informed decisions and staying competitive.

This research seeks to minimise the cognitive processing costs of the enormous amount of content published by the user through a better organisation of hotel service reviews and their visualisation. Likewise, this research aims to propose a methodology and method available to tourism organisations to obtain truly useable knowledge in the design of the hotel offer and its value propositions.

This chapter aims to shed light on the role that a sustainable orientation plays in strengthening the relationships between global consumers and online brands. Despite many previous studies about the importance of sustainability considerations for national consumers’ brand commitments and purchase intentions, there is a lack of empirical studies focussing on this relationship from a global consumer perspective. A pre-study (consisting of focus group discussions) and a widely distributed international survey with responses from 74 countries show mixed results. Whereas the results from the focus groups imply that a sustainable orientation influences both global consumers’ purchase intentions and brand commitments towards online brands, the survey results imply that global consumers’ sustainable orientations do not affect purchase intentions directly, even though they influence brand commitments. An implication of these results is that an international online brand’s possibility to portray a sustainable orientation plays an important role in strengthening the relationship with global consumers, especially regarding brand commitment.

The debate about whether corporate reports should focus on numbers or narrative is long-standing. The recent push for business model information to be included in corporate reports has revitalised the debate. Many scholars suggest this constitutes a move towards narrative-based reporting. This study aims to investigate the debate and draws a comparison with the juxtaposition of the narrative and rational paradigms. This study also investigates how accountingisation influences the way business model information is presented in corporate reports.

This study analyses data from the financial and non-financial reports from 86 globally listed companies. This study first uses content analysis to code the data. This study then uses a partial least squares-structural equation model to test how accountingisation influences how firms report their business model information.

This study finds that accountingisation and a rational paradigm shape how companies present information about their business model in their financial and non-financial reports. This suggests that the dominance of quantitative measures in accounting affects even the presentation of narrative-based information. Despite the much-touted shift towards qualitative reporting, this study argues that companies find it difficult to cast off the yoke of a traditional numbers-based mindset.

This paper contributes to the debate on numbers- versus narrative-based corporate reporting and the workings of narrative and rational paradigms. In it, this study lays out theoretical and empirical findings of accountingisation. This study also makes a case for freeing corporate reports from the shackles of an accountingisation mindset.

This study provides new insights into how companies report information about their business models and the influence of narrative and rational paradigms on financial and non-financial reporting.

Due to increasing supply chain complexity, the supply chain uncertainty has become an imperative issue, which hinders the development of modern logistics and supply chain management. The paper attempts to conceptualize reverse logistics uncertainty from supply chain uncertainty literature and present the types of reverse logistics uncertainty in a triadic model.

The concept of reverse logistics uncertainty is developed based on a triadic model of logistics uncertainty and supply chain uncertainty literature. A desk research is conducted to develop a taxonomy of reverse logistics uncertainty. To better depict the reverse logistics uncertainty, we use case studies to discuss the types of reverse logistics uncertainty in the triadic model.

The study reveals four types of supply chain uncertainties in the reverse logistics. We call them reverse logistics uncertainty. Type-A and Type-B uncertainty are new types of supply chain uncertainty in the reverse logistics.

The types of reverse logistics uncertainty have not been empirically validated in industries. Especially, the two new types including Type-A and Type-B reverse uncertainty need further exploration.

Although reverse logistics has been discussed in the past decades, very few studies have been conducted on the supply chain uncertainty in returns management arena. The paper offers valuable insights to better understand the supply chain uncertainty in the reverse logistics. This also provides suggestions for both managers and researchers to reflect on the reverse logistics uncertainty management and business sustainability.

Taking the customer-centric nature of integrated marketing communications (IMC), this article investigates the specific role of customer performance in IMC effectiveness in various size companies applying inter-country context.

The sample consists of the primary data from developed (Spain) and developing (Belarus) economies. A total of 540 manager respondents participated in the survey. The article uses structural equation modeling and multi-group analysis for analysis.

When taking into consideration, customer performance affects the IMC outcome on the market and financial performance. The customer performance role varies in firms of various sizes and small- and medium -sized enterprises (SMEs) operating both in developed and developing economies.

The research underlines the significant role of customer performance in IMC implementation, which stimulates further investigation on the topic. It also closes the gap in the IMC outcomes analysis in SMEs operating in developed and developing economies.

Customer evaluation plays a vital role in the IMC outcomes for market growth and financial returns. SMEs and larger companies implement IMC with different levels of effectiveness. SMEs with IMC implementation can gain an advantage over larger rivals and improve their market position. Moreover, the study generalizes the results by applying inter-country context.

This is a pioneering study of the complex IMC outcomes model under firms' size moderate conditions. The research applies an inter-country context.

Work-family conflict is an important topic which had an evolution, starting from a static definition, where work and family domains were divided, to a more dynamic and complex balance. COVID-19 has influenced society and created a significant distress among families and working activity, and this topic has been characterised by a major interest, considering some old definitions where this balance was considered problematic but not as an enriching opportunity.

The authors used SCOPUS to find all records mentioning work-family conflict, by considering book, article and review, excluding conference paper and considering only records written in English language. After a duplicated and not pertinent record removal, the authors obtained a number of 675 records. The authors considered 437 records from SCOPUS to create a cluster map.

Using SCOPUS and VOSviewer the authors have clustered 5 different areas, which are regrouped in next clusters considering keywords with most co-occurrence and significancy: Work-life balance and burnout gender cluster job stress and performance social and family support job satisfaction.

Cluster map is origined only by SCOPUS database.

This work aims to find a state of art about this topic, creating hypothesis where this problem has been exacerbated by 2020 due to important society modifications created by COVID-19, where recent evolution of work-family balance has been complicated by papers which come back to consider this balance as problematic.

This paper aims to present a conceptual model that identifies and relates the different approaches and thematic areas in the research area of tourism and gender.

The design of the conceptual model is based on a critical review of the literature and the evolution of feminist paradigms and theories.

The aforementioned theoretical frameworks are the basis for the further development of feminist studies and a gender perspective in the tourism industry research area, including research design, objectives, methodologies, analysis and result’s presentation.

Based on literature review, is theoretical.

Presentation of a conceptual model around the gender perspective in tourism, that leads to the identification of important research opportunities in this area.