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This paper aims to investigate the role of corruption and income inequality in three-dimensional sustainable development in the post-Soviet countries.

The methodology is based on dynamic panel regression with the fixed effects approach.

The authors' findings depict that increasing corruption and income inequality undermine sustainable development. Specifically, increasing corruption and income inequality negatively affect sustainable development. Moreover, unemployment and trade liberalization negatively impact sustainable development, whereas foreign direct investments (FDIs) positively affect sustainable development.

Policy implications enclose galvanizing strong institutions and redistributive policy mechanisms that the bottom income groups enjoy in promoting sustainable development to keep away the distressful phase of corruption and income inequality.

This is the first paper on corruption, income inequality and sustainable development in the post-Soviet countries employing a sustainable development index (SDI), which is calculated by considering three factors including economic, social and environmental development.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-01-2023-0065

The technological and digital revolution has introduced important changes in the tourism industry. However, capturing the extent of the new tourism 4.0 paradigm is still difficult. This study aims to assess the dimensions related to the concepts of industry 4.0 in tourism and hospitality, tourism innovation and tourism ecosystem when considered simultaneously, and their role in promoting a new wave of competitiveness in the tourism industry.

A bibliometric study was conducted based on tourism 4.0, hotel 4.0, tourism innovation and tourism ecosystem using 120 eligible articles published between 2008 and 2021 from the Web of Science database.

This study demonstrated the advances in industry 4.0 in tourism and hospitality publications over 13 years and identified five interconnected dimensions: (1) knowledge transfer in tourism; (2) networking tourism innovation; (3) sources of tourism innovation; (4) smart tourism ecosystem and (5) innovation research in tourism. It was also concluded that tourism development should be a regional competence based on strategic networking and externalisation of regional knowledge flows.

This bibliometric review provides important implications and recommendations for several players of industry 4.0 in tourism and hospitality and policymakers. Not only did it make it possible to create a state of art, but also to categorise the existing interconnections between the dimensions of Tourism 4.0, Hotel 4.0, Tourism innovation and Tourism ecosystem to optimise its implementation and generate greater value. In addition, practical implications were inferred that improve the tourism sector’s competitiveness, helping strategic decision-making at the level of policymakers and actors in this sector.

Apart from state of the art, this bibliometric review made it possible to categorise the existing interconnections between the dimensions of tourism 4.0, hotel 4.0, tourism innovation and tourism ecosystem to optimise its implementation and generate greater value. Practical implications were inferred that improve the tourism sector’s competitiveness, helping strategic decision-making at the level of policymakers and several players in this sector.

This study addresses the existing literature gap in the interconnection of industry 4.0 with tourism and hospitality by describing the most relevant conceptual interconnections and setting practical implications for improving the competitiveness of the tourism industry. Furthermore, it integrates previous studies and outlines future lines of investigation.

This paper explores the similarities and differences in privacy attitudes, trust and risk beliefs between younger and older adults on social networking sites. The objective of the article is to ascertain whether any notable differences exist between younger (18–25 years old) and older (55+ years old) adults in how trust and risk are influenced by privacy concerns upon personal information disclosure on social media.

A Likert scale instrument validated in previous research was employed to gather the responses of 148 younger and 152 older adults. The scale was distributed through Amazon Mechanical Turk. Data were analyzed through partial least squares structural equation modeling.

No significant differences were found between younger and older adults in how social media privacy concerns related to trust and risk beliefs. Two privacy concern dimensions were found to have a significant influence on perceptions of risk for both populations: collection and control. Predictability and a sense of control are proposed as two conceptual approaches that can explain these findings.

This article is the first one to explore age differences in privacy concerns, trust and risk on social media employing conceptual developments and an instrument specifically tailored to the social media environment. Based on the findings, several strategies are suggested to keep privacy concerns on social media at a minimum, reduce risk perceptions and increase users' trust.

The purpose of this study is to identify the main perspectives and trends in educational data mining (EDM) in the e-learning environment from a managerial perspective.

This paper proposes a systematic literature review to identify the main perspectives and trends in EDM in the e-learning environment from a managerial perspective. The study domain of this review is restricted by the educational concepts of e-learning and management. The search for bibliographic material considered articles published in journals and papers published in conferences from 1994 to 2023, totaling 30 years of research in EDM.

From this review, it was observed that managers have been concerned about the effectiveness of the platform used by students as it contains the entire learning process and all the interactions performed, which enable the generation of information. From the data collected on these platforms, there are improvements and inferences that can be made about the actions of educators and human tutors (or automatic tutoring systems), curricular optimization or changes related to course content, proposal of evaluation criteria and also increase the understanding of different learning styles.

This review was conducted from the perspective of the manager, who is responsible for the direction of an institution of higher education, to assist the administration in creating strategies for the use of data mining to improve the learning process. To the best of the authors’ knowledge, this review is original because other contributions do not focus on the manager.

Customer service conversations are becoming increasingly digital and automated, leaving service encounters impersonal. The purpose of this paper is to identify how customer service agents and conversational artificial intelligence (AI) applications can provide a personal touch and improve the customer experience in customer service. The authors offer a conceptual framework delineating how text-based customer service communication should be designed to increase relational personalization.

This paper presents a systematic literature review on conversation styles of conversational AI and integrates the extant research to inform the development of the proposed conceptual framework. Using social information processing theory as a theoretical lens, the authors extend the concept of relational personalization for text-based customer service communication.

The conceptual framework identifies conversation styles, whose degree of expression needs to be personalized to provide a personal touch and improve the customer experience in service. The personalization of these conversation styles depends on available psychological and individual customer knowledge, contextual factors such as the interaction and service type, as well as the freedom of communication the conversational AI or customer service agent has.

The article is the first to conduct a systematic literature review on conversation styles of conversational AI in customer service and to conceptualize critical elements of text-based customer service communication required to provide a personal touch with conversational AI. Furthermore, the authors provide managerial implications to advance customer service conversations with three types of conversational AI applications used in collaboration with customer service agents, namely conversational analytics, conversational coaching and chatbots.

This study aims to benchmark the operational efficiency of fifty-eight public hospitals across Mexico between 2015 and 2018 and identifies the most critical inputs affecting their efficiency. In doing so, the study analyzes the impact of policy changes in the Mexican healthcare system introduced in recent years.

To measure the operational efficiency of Mexican public hospitals, data envelopment analysis (DEA) window analysis variable returns to scale (VRS) methodology using longitudinal data collected from the National Institute for Transparency and Access to Information (IFAI). Hospital groups are developed and compared using a categorization approach according to their average and most recent efficiency.

Results show that most of the hospitals in the study fall in the moving ahead category. The hospitals in the losing momentum or falling behind categories are mostly large units. Hospitals with initially low efficiency scores have either increased their efficiency or at least maintained a steady improvement. Finally, the findings indicate that most hospitals classified as moving ahead focused on a single care area (cancer, orthopedic care, child care and trauma).

This study examined the technical efficiency of the Mexican healthcare system over a four-year period. Contrary to conventional belief, results indicate that most public Mexican hospitals are managed efficiently. However, recent changes in public and economic policies that came into effect in the current administration (2018) will likely have long-lasting effects on the hospitals' operational efficiency, which could impact the results of this study.

To the best of authors’ knowledge, this is the first study that examines the efficiency of the complex Mexican healthcare system using longitudinal data.

Banks in emerging markets such as Brazil provide a wide range of services to companies to facilitate the export process. The objective of the present study was to analyze, from the perspective of Brazilian export companies, the relationships between banking intellectual capital (human and organizational), banking agility, banking technologies and company size in banking service provision.

A sample of 318 Brazilian export companies was surveyed with questionnaires. The research model was tested using structural equation modeling, namely the partial least squares (PLS-SEM) technique and SmartPLS.

Banking intellectual capital affects banking service provision, banking agility mediates the relationship between intellectual capitals and banking service provision and technology does not moderate the relationship between agility and banking service provision. The size of the company does not moderate the relationship between intellectual capital and banking service provision.

This work indicates that intellectual capital and the banking agility strategy are critical in the provision of banking service provision for exports.

This work illustrates the effect of banks' intangible resources on the provision of banking services from the perspective of Brazilian export companies.

This paper constitutes the first academic study to be made of Google Discover as applied to online journalism.

This paper constitutes the first academic study to be made of Google Discover as applied to online journalism. The study involved conducting 61 semi-structured interviews with experts that are representative of a range of different professional profiles within the fields of journalism and search engine positioning (SEO) in Brazil, Spain and Greece. Based on the data collected, the authors created five semantic categories and compared the experts' perceptions in order to detect common response patterns.

This study results confirm the existence of different degrees of convergence and divergence in the opinions expressed in these three countries regarding the main dimensions of Google Discover, including specific strategies using the feed, its impact on web traffic, its impact on both quality and sensationalist content and on the degree of responsibility shown by the digital media in its use. The authors are also able to propose a set of best practices that journalists and digital media in-house web visibility teams should take into account to increase their probability of appearing in Google Discover. To this end, the authors consider strategies in the following areas of application: topics, different aspects of publication, elements of user experience, strategic analysis and diffusion and marketing.

Although research exists on the application of SEO to different areas, there have not, to date, been any studies examining Google Discover.

The peer-review history for this article is available at: https://publons.com/publon/10.1108/OIR-10-2022-0574

This papers aims to study lattice structures in terms of geometric variables, manufacturing variables and material-based variants and their correlation with compressive behaviour for their application in a methodology for the design and development of personalized elastic therapeutic products.

Lattice samples were designed and manufactured using extrusion-based additive manufacturing technologies. Mechanical tests were carried out on lattice samples for elasticity characterization purposes. The relationships between sample stiffness and key geometric and manufacturing variables were subsequently used in the case study on the design of a pressure cushion model for validation purposes. Differentiated areas were established according to patient’s pressure map to subsequently make a correlation between the patient’s pressure needs and lattice samples stiffness.

A substantial and wide variation in lattice compressive behaviour was found depending on the key study variables. The proposed methodology made it possible to efficiently identify and adjust the pressure of the different areas of the product to adapt them to the elastic needs of the patient. In this sense, the characterization lattice samples turned out to provide an effective and flexible response to the pressure requirements.

This study provides a generalized foundation of lattice structural design and adjustable stiffness in application of pressure cushions, which can be equally applied to other designs with similar purposes. The relevance and contribution of this work lie in the proposed methodology for the design of personalized therapeutic products based on the use of individual lattice structures that function as independent customizable cells.

Using the lenses of social exchange and reactance theories, this study examines the relationships between abusive supervision and both turnover intentions and job satisfaction. The moderating role of employee depression in the relationship between abusive supervision and these specific work outcomes is also investigated, by incorporating the conservation of resources theory.

Quantitative data were collected from a sample of 221 frontline retail employees, across shopping malls in the Caribbean nation of Trinidad. A 3-step multiple hierarchical regression analysis was performed to test the relationships.

The findings provided support for the propositions that abusive supervision predicts job satisfaction and turnover intentions, respectively. Employee depression moderated the relationship between abusive supervision and job satisfaction but did not moderate the relationship between abusive supervision and turnover intentions.

While existing research has explored the relationships between abusive supervision, job satisfaction and turnover intentions, limited studies have investigated the moderating role of employee depression. This study contributes to understanding this pervasive workplace issue by investigating a relatively unexplored moderating effect.