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The number of candidates applying to public contests (PC) is increasing compared to the number of human resources employees required for selecting them for the Police Force (PF). This work intends to perceive how those public institutions can evaluate and select their candidates efficiently during the different phases of the recruitment process. To achieve this purpose, artificial intelligence (AI) was studied. This paper aims to focus on analysing the AI technologies most used and appropriate to the PF as a complementary recruitment strategy of the National Criminal Investigation police agency of Portugal – Polícia Judiciária.

Using design science research as a methodological approach, the authors suggest a theoretical framework in pair with the segmentation of the candidates and comprehend the most important facts facing public institutions regarding the usage of AI technologies to make decisions about evaluating and selecting candidates. Following the preferred reporting items for systematic reviews and meta-analyses methodology guidelines, a systematic literature review and meta-analyses method was adopted to identify how the usage and exploitation of transparent AI positively impact the recruitment process of a public institution, resulting in an analysis of 34 papers between 2017 and 2021.

Results suggest that the conceptual pairing of evaluation and selection problems of candidates who apply to PC with applicable AI technology such as K-means, hierarchical clustering, artificial neural network and convolutional neural network algorithms can support the recruitment process and could help reduce the workload in the entire process while maintaining the standard of responsibility. The combination of AI and human decision-making is a fair, objective and unbiased process emphasising a decision-making process free of nepotism and favouritism when carefully developed. Innovative and modern as a category, group the statements that emphasise the innovative and contemporary nature of the process.

There are two main limitations in this study that should be considered. Firstly, the difficulty regarding the timetable, privacy and legal issues associated with public institutions. Secondly, a small group of experts served as the validation group for the new framework. Individual semi-structured interviews were conducted to alleviate this constraint. They provide additional insights into an interviewee’s opinions and beliefs.

Ensure that the system is fair, transparent and facilitates their application process.

The main contribution is the AI-based theoretical framework, applicable within the analysis of literature papers, focusing on the problem of how the institutions can gain insights about their candidates while profiling them, how to obtain more accurate information from the interview phase and how to reach a more rigorous assessment of their emotional intelligence providing a better alignment of moral values. This work aims to improve the decision-making process of a PF institution recruiter by turning it into a more automated and evidence-based decision when recruiting an adequate candidate for the job vacancy.

Information systems (IS) play an important role in contemporary society, but critical questions remain on their potential use and impact on democracy. This study aims to contribute to the discussion on which technology can be adequate to which major challenge of democratic governance, through the identification and pairing of challenges of democratic governance with specific information technologies with the potential to be used in applications related to this challenge. This perspective can be considered positioned in the confluence between IS, political science and public administration.

Design science research, a research approach in IS, was used. The suggestion of a conceptual framework with pairs of challenges in democratic governance and information technologies was initially developed. In a subsequent phase, this framework was discussed and assessed through interviews with a panel of selected experts in e-government and IS, reaching a revised conceptual framework.

Results suggest that the conceptual pairing of challenges in democratic governance with IS’s solutions such as artificial intelligence, systems integration or blockchain technologies, for instance, if used in a critical, transparent and accountable way, can play a role in capacitating the delivery of better public services and contribute to encouraging citizen trust and political participation. These results may contribute to open a methodological agenda dedicated to the selection of adequate IS resources to address specific challenges of democratic governance, as well as to help in the development of public policies in the area.

Previous studies on digital government offer important insights on the impact of information and communication technologies-enabled public governance tools for government openness, public service efficiency and user-friendliness, and for citizen political participation and societal mobilization. But the literature still lacks a systematic conceptual framework mapping and assessing the role of distinctive IS instruments in democratic challenge-solving and specifying functional relationships between specific technology and democratic outcomes. This paper aims to contribute to filling this analytical gap.

The purpose of this study is to explore the interplay between electronic service quality, user experience (UX) and overall customer satisfaction. Additionally, it aims to assess the suitability of E-S-QUAL and UX metrics within the cultural context of Greece.

Data were collected from 310 Internet users based on their last online purchase from an e-retail website. To evaluate the conceptual model, the authors used partial least squares structural equation modeling (PLS-SEM).

The findings of this study validate the scales' reliability and validity in the realm of electronic commerce (e-commerce) in Greece. The findings also emphasize the favorable association between e-service quality and UX with overall satisfaction, while indicating that e-service quality plays a partial mediating role in the relationship between UX and customer satisfaction.

The authors' study enhances the existing theory by introducing a new multi-dimensional conceptual framework that illuminates the relative importance of the dimensions within the scales. Additionally, it offers valuable insights into the impacts of e-service quality and UX on overall satisfaction, providing managers and practitioners with a tool to evaluate the quality of their electronic services and make necessary adjustments to meet the needs of their customers.

This research examines the role of a therapist’s attributes, namely, expertise, sociability, likability and mind-set similarity, in building trust, satisfaction and commitment amongst visitors in Indian wellness resorts and hotels.

The text mining approach was adopted to collect a large corpus of 3,94,373 online reviews from TripAdvisor, Google Reviews and hotels.com. Reviews were taken from 1,677 resorts and hotels that deal in spa and wellness care across India. This study uses unsupervised Naïve Bayes classification and n-gram lexical TF-IDF vectorizer method to classify and find the sentiment of the reviews shared by the visitors of the wellness resorts. Additionally, multiple linear regression is performed to understand the impact of the therapist’s identified attributes on the visitor’s relationship quality.

The research found positive sentiment towards the therapist’s likability, and visitors seemed satisfied with the overall wellness service. The sentiment towards trust and commitment is low. The study also found significant links between likability and expertise in building the relationship quality between the therapist and the visitors. The expertise of the therapist enhances visitors’ trust and willingness to return. The therapist’s likability nature helps in increasing visitor satisfaction.

This study helps to understand the service personnel's level of relationship with the customer in hospitality services. Further, the study empirically verifies the important factors that build relationship quality in Indian wellness services.

The present study argues the need for greater clarity in understanding the customer perception of the services provided by wellness therapists in Indian wellness resorts and hotels. The study guides hotel managers to perform training of wellness therapists to improve customer satisfaction. Using the findings of the current study, managers can prioritize therapists’ attributes and realign their core strategies and provide satisfying wellness services to customers.

This study demonstrates the essential qualities a therapist should develop to enhance the relationship with the resort visitors and foster trust, commitment and satisfaction. The study goes a step further by using a vast database of online data for deep insights into the visitor’s view and the use of machine learning for amplifying results.

The purpose of this paper is to investigate consumers’ attitudes and behaviours towards wild and farmed fish, in order to identify possible distinct consumer groups, and to examine potential linkages between characteristics of the consumers’ demographic and socio-economic status and marketing aspects in wild and farmed fish.

Using data from an in-person field survey, a TwoStep cluster analysis was employed in order to detect perceived differences among consumers with different profiles.

The analysis identified two distinct consumer groups differentiated primarily by income: the low-potential aquaculture consumers and the high-potential aquaculture consumers, representing 67 and 33 per cent of the total sample, respectively. The study provides evidence that there is a lesser preference towards farmed fish. Therefore, more efficient marketing strategies are probably needed in order to promote awareness in aquaculture consumption, and potentially contribute in guiltlessness of the whole sector.

There is a lack of detailed empirical research regarding consumer perceptions and particularly potential differentiation for wild and farmed fish. This paper advocates the use of consumer profiles as a basis for the development of consumer-focused strategies in order to improve consumer performance in the sector.

This paper aims to present the literature review on engagement in marketing, specifically on the concept of actor engagement (AE), to identify the most influential countries, authors, journals and institutions, their structure and research lines.

This review was carried out from a bibliometric and network analysis of documents published in the Scopus and Web of Science databases.

A total of 223 documents were found that were scientifically mapped in this field. The network analysis identified four perspectives or research clusters: customer engagement, the conceptualization, co-creation of value and service ecosystems. Finally, the agenda for future research is presented.

This paper carries out a bibliometric and network analysis, so far not done, of the literature on AE in which its perspectives and future lines of research were identified.

Over the past year, the widespread pandemic has changed people’s lifestyles around the world. Educational services providers had to adapt to this new reality. Therefore, distance learning has been widely used by universities all over the world, even though some institutions were not prepared for this sudden change to their service provision. As such distance learning methods, while they are not new in the academic community, were massively introduced and redesigned to help students’ attend lectures and acquire new knowledge. The introduction of new technologies has further helped students’ and teaching staff speed up the process and improve methods of teaching and learning, including access to educational material, virtual classes and live meetings. The aim of this paper is to tap on the new form of higher education provision in the pandemic economy; more specifically, the authors aim to assess the impact of this change on university students’ and investigate the effect of attitudes towards distance learning as a drive of university students’ decision-making.

Distance learning has been widely used by Greek universities, even though some institutions were not prepared for this sudden change to their teaching methods. To assess the impact of this change on university students, research was conducted on 1,550 students’ at Democritus University of Thrace, Greece, and a two-step cluster analysis was conducted to reveal three equally sized clusters, namely, technology mature, technology conservatives and sceptics of e-learning.

The results reveal that although students’ found distance learning implementation the satisfactory, most of them are sceptical about the future of distance learning methods. Their main objections focus on the way distance learning is practiced. They also shared their objections regarding the future of e-learning and online exams.

This study is based on the extant pros and cons of distance learning and provides new knowledge on students’ attitudes towards distance learning. This where the manuscript offers value, as to the best of the authors’ knowledge, this is the first study in the post COVID-19 era that offers new empirical data relating to attitudes towards online services provision in the higher education sector.