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This paper’s main aim is to check the mediating effect of supply chain memory in the relationship between using digital technologies and both supply chain resilience and robustness. In addition, the impact of the COVID-19 disruption was tested as a moderator of the impact of supply chain memory on supply chain resilience and robustness.

Altogether, 257 supply chain managers answered the questionnaire, and data were analysed through structural equation modelling.

This paper contributes to theory and practice by demonstrating that the experience, familiarity and knowledge to deal with disruptions partially mediate the relationship between digital technologies, resilience and robustness. Moreover, our results show that memory is less efficient for the supply chain to maintain an acceptable level of performance in case of a new extreme disruptive event like COVID-19. The full model was able to explain 36.90% of supply chain memory, 41.58% of supply chain resilience and 46.21% of supply chain robustness.

The study helps to understand how to develop supply chain memory, positioning digital technologies as an antecedent of it. The impact of supply chain memory on supply chain resilience and robustness is proved. Knowledge about the impact of industry 4.0 technologies on disruption management is quantitatively improved. It demonstrates that digital technologies impact resilience and robustness mainly through supply chain memory. The study proves that supply chain memory is less efficient for the chain remains effective when a non-routine disruptive event occurs, but it is still imperative to recover from it.

This study aims to describe, synthesise and clarify the findings of published studies on individual continuance intention to use an information system (IS), considering the fact that the number of studies in the continuance intention context are growing exponentially and cover several different subjects.

The research uses meta- and weight analysis by taking 115 empirical studies from continuance intention to use an IS. The data are presented in different views using significant and non-significant relationships from all the studies. Furthermore, it uses hierarchical linear meta-analysis to analyse potential moderators that can influence continuance intention.

The results reveal that affective commitment, attitude, satisfaction, hedonic value and flow are the best predictors of continuance intention to use an IS. Sample size, individualism, uncertainty avoidance and long-term orientation moderate the relationship of perceived usefulness on continuance intention. Power distance, masculinity and indulgence moderate relationship satisfaction on continuance intention.

The results reveal that continuance intention to use an IS has been studied in different countries, with different cultures; therefore, IS providers should have diversified managing strategies, to ensure the satisfaction of users and long-term usage of their IS.

The study provides a systematic overview of the most relevant variables used in the literature, including a temporal analysis of the theoretical models, highlighting the evolution of the constructs and presents a moderation analysis.

This research aims to gain a holistic understanding of how video conferencing (VC) apps' media characteristics influence individuals' perceptions of VC apps and, ultimately, their use and continued use in professional settings.

A conceptual research model is developed by integrating constructs from media synchronicity theory (MST), social presence theory and the unified theory of acceptance and use of technology (UTAUT2) model, as well as ubiquity, technicality and perceived fees. Structural equation modeling (SEM) is used to empirically test the conceptual model using data collected from 252 working professionals from the European Union.

The results reveal that while performance expectancy (PE) and facilitating conditions (FC) are fundamental to VC app use, these factors alone do not explain the use and continuing use of VC apps in the professional context. Media characteristics that include synchronicity, social presence, and ubiquity are equally crucial to professionals using VC apps. It also confirms the moderating effect of convergence on the relationship between synchronicity and PE and the moderating effect of technicality and perceived fees on the relationship between ubiquity and FC.

For researchers, the study offers insights into the extent to which technological and socially derived characteristics of VC apps influence the routine tasks undertaken by professionals in virtual work settings. For practitioners, recommendations pivotal to the use of VC apps are presented to promote higher acceptance and improved well-being of the professional workforce.

While most e-commerce studies focus on the understanding of online customer behaviour, mainly adoption and purchase behaviours. The purpose of this paper is to examine the relationship between e-commerce and individual performance. The authors test the role of systems, information and service quality in e-commerce use and user satisfaction. Trust may become an important aspect for a consumer’s decision making, based on this the authors identify the effect of the role of trust on e-commerce use, user satisfaction and its impact on individual performance. This research has theoretical and managerial implications, since the protagonism of e-commerce is increasing in both academia and industry.

The authors apply a research model that integrates information systems success dimensions and user behaviour in the form of trust. The empirical approach was based on an online survey questionnaire of 437 individuals from Portugal.

The results reveal that overall quality and overall trust are important to explain use and user satisfaction in the context of e-commerce, which further leads to individual performance. The findings indicate that a higher level of use and user satisfaction increase individual performance.

The authors integrate information systems success dimensions and overall trust to understand the significance of e-commerce individual performance. The authors expect the results to enrich the understanding of the importance of considering both technological and behavioural factors to increase the success of e-commerce.

In the 21st century, excessive use of hedonic information systems (HIS) has become commonplace, making HIS use reduction a more viable option for many users than complete discontinuation. Even so, there is no systematic revision on this matter. This systematic literature review aims to examine previous studies on HIS use reduction, identify their limitations and point out future research directions.

We adhered to the preferred reporting items for systematic reviews and meta-analyses (PRISMA) guidelines, ultimately analyzing 52 papers published between 2010 and 2024, with the majority disseminated after 2021.

The primary findings indicate a gradual shift from focusing on internet research to exploring social networking sites, with consistent attention on gaming and mobile device usage. Moreover, there is notable diversity in the theoretical foundations of scholarly research in this area as well as in the antecedents, consequences and control factors. Additionally, factors such as awareness, social norms, fatigue, privacy concerns and self-efficacy play the most significant roles in reducing the use of HIS. Finally, this article identifies gaps and opportunities in the field and employs science mapping to uncover the four predominant themes that form the basis of this research domain.

As far as we know, this article marks the inaugural comprehensive systematic review of current research on reducing HIS use, intending to make a dual impact. Initially, the authors meticulously outline HIS use reduction systematically and thoroughly, offering theoretical insights. Second, they delve into potential research areas and contributions concerning this phenomenon to address the gap in understanding the effects of reducing HIS usage on individuals.

This investigation delves into the elements influencing social networking sites (SNS) use reduction behavior through the lens of the cognitive-affective (CA) model to understand the driving forces behind the decline in SNS use.

Following the CA model, this research introduces a theoretical framework that integrates the emotions of regret and guilt along with the principles of cognitive dissonance theory. The proposed theoretical framework was subjected to empirical validation, utilizing 453 responses gathered from Instagram users.

The results suggest that the emotions of regret and guilt have a favorable impact on users’ intention to decrease their SNS usage, with cognitive dissonance exerting an indirect positive influence through these emotions. Additionally, further examination unveils that fear moderates the connection between users’ SNS addiction and the CA components.

Additional cognitive and affective responses may influence the intricate relation between SNS addiction and SNS use reduction intention.

This research contributes to the existing body of knowledge on the information system use lifecycle by examining shifts in user behavior, notably the transition from excessive use to the adoption of use reduction strategies. Furthermore, it sheds light on the intricate role of cognitive dissonance in elucidating the intention to reduce SNS use from the perspective of the CA model. Additionally, this study advances our current understanding of how the fear of negative consequences arising from excessive usage plays a role as a moderating factor in elucidating the underlying internal factors related to reducing SNS usage.

The purpose of this paper is to further our knowledge of what influences users to adopt mobile augmented reality in tourism (MART). A conceptual model is proposed, combining the extension of Unified Theory of Acceptance and Usage of Technology (UTAUT2) with task technology fit (TTF), to explain behavioural intention and user behaviour of MART adopters.

A questionnaire was completed by a sample of 335 respondents in Portugal. Both UTAUT2 and TTF were combined into a new model from which several hypotheses were drawn based upon the literature.

The results have shown that the model explains 72 per cent of the variance in behaviour intention to use MART and 45 per cent of the variance in user behaviour.

MART is becoming increasingly known to travellers as it provides the user diverse and useful information with a real relationship with the world. By studying behaviour and what influences consumers to use MART, this study aims to advance the research into new technologies in tourism.

本论文旨在扩展对于消费者在旅游行业中使用移动增强现实科技（MART）的知识。本论文结合科技接受和使用全模型（UTAUT2）和任务科技配置度模型（TTF）, 提出一个新型的理论模型, 用于更深度理解MART使用者的使用意图和行为。

本论文采用问卷采样形式, 采样地点在葡萄牙, 一共采集335份样本数据。由UTAUT2和TTF模型整合的新模型得到了理论认证。

本论文新模型解释了72%的MART消费者行为意图和45%消费者使用行为。

MART如今越来越受到游客的认识, 其科技通过一种与现实更贴近的手段, 向游客提供多样且实用的信息。本论文通过研究消费者使用MART的行为, 对旅游产业新科技的应用有着很深的理论贡献。

This study aims to present a model drawn on both the extension of the unified theory of acceptance and use of technology (UTAUT2) and the perceived value for explaining consumer behavior toward mobile hospitality services (MHS) from two perspectives: intention to use and recommendation.

The partial least square (PLS) was applied to data gathered from 348 validated responses to a survey to test a number of research hypotheses.

Results found that the proposed conceptual model explains 62 per cent of the intention to use of MHS and 51 per cent of the variation in the recommendation. Perceived value plays a role in explaining both the intention to use and recommend MHS, with both constructs also helping in explaining behavior intention, to which effort expectancy, facilitating conditions and performance expectancy also contribute.

This research goes beyond perceived value by combining it with a cornerstone model, UTAUT2, used in technology adoption studies. The paper addresses updated MHS that include but are not limited to mobile hotel reservations.

Most empirical studies of m-banking seek to understand the factors and motivations that influence the adoption or behaviour intention. The purpose of this paper is to focus on analysing and synthesising existing studies and make recommendations to researchers and practitioners.

Few papers focus on the m-banking use and individual performance, but on the determinants of adoption measures, instead. This research examines 64 journal articles published between 2002 and 2016 in top journals. Following a comprehensive review of the literature, the authors propose a research agenda.

The importance of use and individual performance has long been recognised by academics and practitioners in a variety of functional disciplines. The present review indicates that the topics of m-banking adoption and behavioural intention dominate the majority of research, but finds very few studies on post-adoption. The two most significant drivers of intentions to adopt m-banking are perceived ease of use and perceived usefulness. Considering several m-banking definitions, the authors propose a new, broader definition that takes into account the technological changes that have occurred over time. m-banking is a service or product offered by financial institutions that makes use of portable technologies.

This paper assembles this diverse body of knowledge into a coherent whole. The authors expect that this review will be of benefit to anyone interested in m-banking research and that it will help to stimulate further interest. In order to advance research in m-banking, future research should consider other theories uncovered in our findings.

Although studies have investigated reasons for software as a service (SaaS) adoption, it is unclear how firm-level SaaS use impacts future SaaS intentions. The purpose of this paper is to propose a theoretical model that integrates the technology-organization-environment framework, institutional theory, diffusion-of-innovation theory and the opportunity-risk framework to analyze the drivers of SaaS use and its continuance intention.

The authors evaluated the direct, moderating and mediating effects of determinants on SaaS continuance intentions using structural equation modeling and data from 301 firms.

Results found that top management support and normative pressures influenced SaaS use. Cost saving and security concerns were direct predictors of perceived opportunities and perceived risks, respectively. Perceived opportunities and risks and actual SaaS use influenced SaaS continuance. Interestingly, perceived opportunities were found to be a negative moderator on the relationship between SaaS use and SaaS continuance.

The results reveal insightful and controversial findings for SaaS research.