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No systematic review has previously been dedicated to comprehensively investigate predictors of well-being and ill-being in working contexts. Empirical studies have vastly associated well-being as the result of autonomous motivation and basic psychological needs satisfaction, while frustration results in ill-being. The purpose of this study is to integrate the variables identified in empirical studies associated with the occurrence of the phenomena, individual/organizational features and consequences associated with workers' well-being/ill-being.

This systematic review includes 44 empirical studies published up to February 2021. Findings are summarized based on quantitative analysis of the evidence.

Results reinforce the role of self-determined motivation and needs satisfaction in promoting well-being, while amotivation and needs frustration led to ill-being. Besides, they indicate that ill-being can both lead to negative consequences and diminish positive work outcomes. Findings also revealed that: integrated motivation does not seem to be empirically distinct from intrinsic and identified motivation in promoting well-being; introjected motivated behaviors may be less harmful to psychological health than externally oriented ones; the relationship between external motivation and well-being/ill-being requires prospective investigations; and amotivation seems to have a detrimental effect in workers' psychological health.

Results provide practical information for HRM practitioners to design work environments and practices that promote employees' psychological health.

An unprecedented framework that aggregates empirical findings regarding the antecedents, predictors and consequences of ill-being/well-being in working contexts is presented.

This study aims to conduct a thorough literature review to map current studies on international marketing capabilities (IMCs) applying dynamic capabilities view (DCV). The aim of this study is to increase the chances for more conceptual and terminological rigor in future research in this particular research area.

This is a systematic literature review following the established review process of reviews in leading (international) marketing journals. A multilevel analytical approach was adopted, combining inductive coding with deductive coding and following the logic of antecedents-phenomena-consequences.

Synthesis of 20 rigorously selected previous empirical studies on IMCs applying DCV reveals that academic interest in these capabilities is well justified and growing and there are some well researched antecedents to focal capabilities (e.g. inter-organizational capabilities, outside-in market orientation) as well as their prevalent consequences (e.g. export and innovation performance). There is little knowledge of moderators to these links, especially with regard to consequences. This review illustrates that the current research lacks consistency in how key constructs are defined and measured, provides the guide to future conceptualization and measurement of so-called International Dynamic Marketing Capabilities (IDMCs) and proposes some concrete research directions.

The authors extend prior research in the investigated topic by critically evaluating prior works, providing improved conceptualization of IDMCs as well as concrete research agenda for IDMCs structured along recommendations for Theory, Context and Methods (TCM framework).

Work-life balance (WLB) policies have become a popular topic in both academic literature and organizations. However, previous studies in this area have provided mixed results, and the impact of WLB policies on various indicators of organizational financial performance remains unclear. There has been no comprehensive review that synthesizes the current state of knowledge and indicates future research directions. This review addresses this gap and provides a systematic review of published papers investigating the relationship between WLB policies and organizational financial performance.

The review follows the PRISMA-ScR guidelines for scoping reviews. An analysis of 421 relevant records in Web of Science and Scopus databases identified 22 original empirical studies that focused on the relationship between WLB policies and financial performance at the level of the organization.

Most reviewed studies indicated a weak positive relationship between WLB policies and financial performance. There was the strongest support for the effectiveness of flexible working hours and job sharing, while there was mixed support for the policy of working from home. There were a higher proportion of positive results in studies conducted in Western countries compared to Asian countries, which indicates a potential moderating effect of culture. This review also describes the primary limitations of previous studies, namely, low test power and insufficient evidence about causality.

This review summarizes the growing body of quantitative research on the relationship between WLB policies and organizational financial performance. It presents a model that includes moderators and mediators of this relationship and indicates potentially fruitful areas for future research.

This is a general review study aiming to specify the key customer-based factors and technologies that influence the value co-creation (VCC) process through artificial intelligence (AI) and automation in the hospitality and tourism industry.

The study uses a theory-based general literature review approach to explore key customer-based factors and technologies influencing VCC in the tourism industry. By reviewing the relevant literature, the authors conclude a theoretical framework postulating the determinants of VCC in the AI-driven tourism industry.

This paper identifies customers' perceptions, attitudes, trust, social influence, hedonic motivations, anthropomorphism and prior experience as customer-based factors to VCC through the use of AI. Service robots, AI-enabled self-service kiosks, chatbots, metaversal tourism and new reality, machine learning (ML) and natural language processing (NLP) are technologies that influence VCC.

The results of this research inform a theoretical framework articulating the human and AI elements for future research set to expand the models predicting VCC in the tourism industry.

Few studies have examined consumer-related factors that influence their participation in the VCC process through automation and AI.

There has been a move towards the implementation of digital/e-health interventions for some time. Digital/e-health interventions have demonstrable efficacy in increasing individual empowerment, providing timely access to psychological interventions for those experiencing mental ill-health and improving outcomes for those using them. This study aims to determine the efficacy of digital/e-health interventions for individuals detained in prison who experience mental ill-health.

A systematic search of five academic databases – CINAHL, ASSIA, PsycINFO, Embase and Medline – was completed in December 2020 and updated in February 2022. The review was guided by the Whittemore and Knafl (2005) framework for integrative reviews. A total of 6,255 studies were returned and screened by title and abstract. A full-text screening of nine (n = 9) studies was conducted.

No study met the inclusion criteria for the clinical efficacy of digital/e-health interventions in a prison setting. Subsequently, a review of the literature that made it to the full-text review stage was conducted, and gaps in the literature were identified to inform policy, practice and future research.

To the best of the authors’ knowledge, this is the first integrative review conducted on the efficacy of digital/e-health interventions for mental ill-health in prison settings.

Much of the current literature on integrating sustainability into HEIs is focussed on why HEIs should embrace sustainable development (SD) and what is still missing or hindering work and the integration of efforts. There is much less exploration of how SD has been interpreted at the individual HEI level and action taken as a result. This case study reflects on important elements of the journey Nottingham Trent University (NTU) in the UK has taken to integrate sustainability, focussing on key decisions and activity in 2009/10. In highlighting this, the authors seek to empower those looking to support and/or lead the embedding of Education for Sustainable Development (ESD), separately or as part of an integrated effort, in their own institution. Today in 2019, NTU is a global leader in integrating ESD as part of a wider SD agenda. The work which this paper presents, to understand and establish a baseline of key elements of NTU's existing ESD activity and systems, was an important turning point. Activities undertaken to review and assess “where are we now?”, primarily through an institution-wide survey in 2009/10, led to important insights and supported dialogue, as well as the connection and underpinning of core administrative elements of the NTU SD framework and systems. Further recommendations are given in the final section of this paper on other drivers that can help to embed ESD within an HEI.

The article discusses the current relevance of artificial intelligence (AI) in research and how AI improves various research methods. This article focuses on the practical case study of systematic literature reviews (SLRs) to provide a guideline for employing AI in the process.

Researchers no longer require technical skills to use AI in their research. The recent discussion about using Chat Generative Pre-trained Transformer (GPT), a chatbot by OpenAI, has reached the academic world and fueled heated debates about the future of academic research. Nevertheless, as the saying goes, AI will not replace our job; a human being using AI will. This editorial aims to provide an overview of the current state of using AI in research, highlighting recent trends and developments in the field.

The main result is guidelines for the use of AI in the scientific research process. The guidelines were developed for the literature review case but the authors believe the instructions provided can be adjusted to many fields of research, including but not limited to quantitative research, data qualification, research on unstructured data, qualitative data and even on many support functions and repetitive tasks.

AI already has the potential to make researchers’ work faster, more reliable and more convenient. The authors highlight the advantages and limitations of AI in the current time, which should be present in any research utilizing AI. Advantages include objectivity and repeatability in research processes that currently are subject to human error. The most substantial disadvantages lie in the architecture of current general-purpose models, which understanding is essential for using them in research. The authors will describe the most critical shortcomings without going into technical detail and suggest how to work with the shortcomings daily.

Organisations have over time adopted conservative, structured and controlled processes to manage and achieve goals set with their stakeholders. Contrary to that, an environment of disruption has emerged, that being a faster, less predictable and less certain environment than the previous fifty or more years. This environmental difference has emerged due to the interconnectivity of trade formed out of globalisation, technology, internet and social media. The historical organisational decision models and structures are perhaps too slow and conservative for a faster less certain new age. Whilst pandemic was considered but one disruption to consider for the new age, more guidance is required for those leading and managing organisations through the current specific Covid-19 pandemic, into the pending recovery and beyond.

Whilst wide-scale jobs may be lost in this new future, new opportunities for entrepreneurs, creativity and skills will likely emerge. This article will research how disruption, pandemic in particular, is changing leadership and management practices. Additionally, this article recognises that many of the organisational structures and processes of today were originally designed over thirty to forty years ago, so may no longer be appropriate. The design aspects or organisations, decision models and dealing with stakeholders will likely need to change in a pandemic, so this paper will recommend new and modified ways for organisations to operate. This research will offer a theoretical solution to assist management and leaders adjust their business and decision models in a pandemic. The past operating organisational models may lack the creativity and flexibility necessary for a world that has locked down, works from home or have closed without notice at once. Leading and managing is so different in a pandemic, especially when so much has changed so quickly, so this article will contribute by recommending new organisational principles to work to.

This paper aims to provide a critical reflection on the management of experiences in hospitality and tourism (H&T). The paper investigates the evolution of experience research, while discussing the emerging challenges and opportunities for management.

The study adopts a critical and reflective approach for providing future directions of experience research. Three major fields are identified to discuss advances, challenges and opportunities in experience research: conceptualization and dimensions of experiences; relational network for experience management; and theoretical and methodological approaches.

The paper proposes a mindset shift to guide experience research, but also to redirect and research thinking and managerial practices about the role of experiences in the economy and society. This proposed humanized perspective to experience research and management is deemed important given the contemporary socio-economic, environmental and technological challenges of the environment.

This paper identifies a set of theoretical and managerial implications to help scholars and professionals alike to implement the humanized perspective to experience research. Implications relate to conceptualization, relational network and theoretical and methodological approaches in experience research.

This study critically assesses research challenges and opportunities around customer experience management (CEM) in H&T contexts. This reflective and critical look at customer experiences not only informs future research for advancing knowledge and practice but also proposes a mindset shift about the role and nature of CEM in the society and economy.

The field of website quality evaluation attracts the interest of a range of disciplines, each bringing its own particular perspective to bear. This study aims to identify the main characteristics – methods, techniques and tools – of the instruments of evaluation described in this literature, with a specific concern for the factors analysed, and based on these, a multipurpose model is proposed for the development of new comprehensive instruments.

Following a systematic bibliographic review, 305 publications on website quality are examined, the field's leading authors, their disciplines of origin and the sectors to which the websites being assessed belong are identified, and the methods they employ characterised.

Evaluations of website quality tend to be conducted with one of three primary focuses: strategic, functional or experiential. The technique of expert analysis predominates over user studies and most of the instruments examined classify the characteristics to be evaluated – for example, usability and content – into factors that operate at different levels, albeit that there is little agreement on the names used in referring to them.

Based on the factors detected in the 50 most cited works, a model is developed that classifies these factors into 13 dimensions and more than 120 general parameters. The resulting model provides a comprehensive evaluation framework and constitutes an initial step towards a shared conceptualization of the discipline of website quality.