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The purpose of this study is to investigate the impact of mobile self-efficacy on personal digital archiving (PDA) practices of undergraduate students.

This study used a quantitative research design for achieving the objectives. The population consisted of undergraduate students from public sector universities (the top five) of Punjab, Pakistan, listed in the Higher Education Commission recognized general universities. The data were analysed by using SmartPLS, mobile self-efficacy was the independent variable that consisted of two constructs (basic mobile phone operations and using the internet and emails). PDA practices was the dependent variable (information backup, clearing and deleting).

The analysis consisted of two major parts: first the assessment of measurement model and second the structural equation modelling analysis. A significant impact of mobile self-efficacy (basic mobile phone operations, using internet and email) was found on all the sub-constructs (information backup, information clearing and information deleting) of PDA practices. However, using internet and email has no significant impact on the information clearing practices of undergraduate students of Pakistani universities.

This study is a valuable addition to the extant literature because no comprehensive research has been carried out on the impact of mobile self-efficacy and PDA through mobile phones. It also contributes theoretically in the form of the development of a validated instrument on mobile-based PDA. Additionally, it possesses practical value for information literacy instruction programs.

The purpose of this paper is to investigate the information security behavior of mobile device users in the context of data breach. Much of the previous research done in user information security behavior have been in broad contexts, therefore creating needs of research that focuses on specific emerging technologies and trends such as mobile technology.

This study was an empirical study that gathered survey data from 390 mobile users. Delphi study and pilot study were conducted prior to the main survey study. Partial Least Square Structural Equation Modeling was used to analyze the survey data after conducting pre-analysis data screening.

This study shows that information security training programs must be designed by practitioners to target the mobile self-efficacy (MSE) of device users. It also reveals that practitioners must design mobile device management systems along with processes and procedures that guides users to take practical steps at protecting their devices. This study shows the high impact of MSE on users’ protection motivation (PM) to protect their mobile devices. Additionally, this study reveals that the PM of users influences their usage of mobile device security.

This study makes theoretical contributions to the existing information security literature. It confirms PM theory’s power to predict user behavior within the context of mobile device security usage. Additionally, this study investigates mobile users’ actual security usage. Thus, it goes beyond users’ intention.

The purpose of this paper is to develop and empirically test a model that examines the relationship between post-adoption self-efficacy, satisfaction, and loyalty in the usage of mobile shopping applications.

A structured questionnaire was used to collect data from respondents who had used mobile shopping applications to make purchases. Data analysis was done using partial least square structural equation modelling.

The results show that self-efficacy and satisfaction have a positive impact on continuance intention; however, the same may not lead to advocacy. The results also show that some antecedents of self-efficacy and satisfaction at the post-adoption stage differ from the pre-adoption intention stage.

The findings of the study provide a better understanding of the factors likely to influence loyalty among customers using mobile shopping applications. The findings also provide valuable insights into the factors that e-retailers need to focus to build self-efficacy among their customers using mobile interface.

The contribution of the paper lies in eliciting the differences between customer choice model at the pre-adoption and post-adoption stage for mobile shopping. Furthermore, the study demonstrated the role of a cognitive factor of self-efficacy in loyalty at the post-adoption stage that is pre-dominantly researched with affective factor of satisfaction.

Mobile learning has emerged as one of the main methods for training and academic activities in the present era. It is, also, highly relevant in the wake of the COVID-19 pandemic whereupon digitization of mobile learning has made it possible for many students to continue with their education. This study investigated attitudes and intentions towards the adoption of mobile learning in vocational education.

This is a quantitative study based on cross-sectional empirical data. In targeting vocational students throughout Pakistan, the study used a survey questionnaire with a convenience sampling method. From the responses to the questionnaire, 320 samples were used to obtain the study outcomes.

The structural equation modeling’s (SEM) findings reveal that learning autonomy (LA), mobile device self-efficacy (MDSE), task-technology fit (TTF), perceived ease of use (PEOU), perceived usefulness (PUS) and perceived enjoyment (PE) have a positive and significant effect on mobile usage attitudes (MUA) and intentions to adopt mobile learning (ITAML). Moreover, this study’s findings confirm, also, MUA’s predictive power on ITAML.

Further, this study’s findings encourage individuals to use mobile devices to properly promote knowledge in society. In addition, this study’s findings support vocational institutions’ operators’ and policymakers’ development of online education and training strategies to resist the complications arising from the transmission of COVID-19. Moreover, this study’s findings open new doors when conducting similar research studies on students’ perceptions and learning behaviors.

The empirical investigation of attitudes and intentions to adopt mobile learning in the context of COVID-19 helps potential adopters to test the likely behaviors.

Although, smartphones have facilitated users to keep their personal information, nonetheless, less has been investigated about factors affecting personal information management (PIM) practices. Therefore, this study aims to investigate how personal innovativeness, perceived ease of use (PEOU) and mobile self-efficacy affect PIM (e.g. finding/re-finding, keeping, organizing and maintaining) practices.

Quantitative research design was used in this study. The authors collected data from 222 students of information management from public sector universities using a questionnaire. PLS modeling technique was used to analyze data.

The authors noted that personal innovativeness significantly impacts finding/refinding information, whereas it insignificantly affects keeping, organizing and maintaining information practices. In addition, smartphone PEOU significantly influences information finding and refinding, information keeping and organizing information, whereas insignificantly influences information maintaining. Moreover, mobile self-efficacy was noted to be significantly associated with finding and refinding information, information keeping, information organizing and information maintaining.

This research is an important contribution to the body of existing literature, as it proposed an integrated model based on constructs extracted from Technology Acceptance Model (TAM), Social Cognitive Theory, personal innovativeness and PIM. This study also has practical significance because the findings of this study would be helpful for smartphone application developers and LIS school directors to design programs for information literacy.

This study aims to investigate the factors that influence behavioral intention (BI) and usage of e-wallets by extending the unified theory of acceptance and use of technology (UTAUT) with constructs, namely, mobile self-efficacy, perceived enjoyment and satisfaction.

This quantitative study used partial least squares structural equation modeling on a sample of 576 mobile e-wallet users surveyed online.

The key findings indicate that the model can explain 58.8% of the variance in behavioral intention and 53.8% in usage. Moreover, mobile self-efficacy has a significant influence on perceived enjoyment. Perceived enjoyment significantly affects satisfaction, effort expectancy and performance expectancy. Furthermore, effort expectancy significantly influences customer satisfaction in contrast to performance expectancy. In addition, although performance expectancy, social influence and satisfaction significantly impact consumers’ behavioral intention, effort expectancy and facilitating conditions condition have an insignificant influence on consumers’ behavioral intention. E-wallet stakeholders can use the findings of this study to make strategic decisions regarding the e-wallet ecosystem.

Although previous studies have independently addressed the impact of mobile self-efficacy, perceived enjoyment and satisfaction on consumers’ behavioral intention and usage behavior, the expanded framework with the possible relationships proposed in this study has never been adequately studied in previous research in the context of e-wallets in developing countries based on an empirical analysis. This study represents one of the first attempts to improve the UTAUT by empirically analyzing these relationships.

Este estudio tiene como objetivo investigar los factores que influyen en la intención de comportamiento y el uso de los monederos electrónicos mediante la ampliación de la teoría unificada de aceptación y uso de la tecnología (UTAUT) con los constructos de autoeficacia móvil, disfrute percibido y satisfacción.

Este estudio cuantitativo utilizó un modelo de ecuaciones estructurales de mínimos cuadrados parciales (PLS-SEM) sobre una muestra de 576 usuarios de monederos electrónicos móviles encuestados en línea.

Los principales resultados indican que el modelo puede explicar el 58,8% de la varianza en la intención de comportamiento y el 53,8% en el uso. Además, la autoeficacia en el uso del móvil influye significativamente en el disfrute percibido. El disfrute percibido afecta significativamente a la satisfacción, la expectativa de esfuerzo y la expectativa de rendimiento. Además, la expectativa de esfuerzo influye significativamente en la satisfacción del cliente, en contraste con la expectativa de rendimiento. Además, aunque la expectativa de rendimiento, la influencia social y la satisfacción influyen significativamente en la intención de comportamiento de los consumidores, la expectativa de esfuerzo y la condición de condiciones facilitadoras tienen una influencia insignificante en la intención de comportamiento de los consumidores. Las partes interesadas en los monederos electrónicos pueden utilizar las conclusiones de este estudio para tomar decisiones estratégicas en relación con el ecosistema de los monederos electrónicos.

Aunque estudios anteriores han abordado de forma independiente el impacto de la autoeficacia móvil, el disfrute percibido y la satisfacción en la intención de comportamiento y la conducta de uso de los consumidores, el marco ampliado con las posibles relaciones propuestas en este estudio nunca se ha estudiado adecuadamente en investigaciones anteriores en el contexto de los monederos electrónicos en los países en desarrollo sobre la base de un análisis empírico. Este estudio representa uno de los primeros intentos de mejorar el UTAUT analizando empíricamente estas relaciones.

本研究旨在通过扩展统 – 的技术接受和使用理论 (UTAUT), 研究影响电子钱包行为意图和使用的因素, 包括移动自我效能、感知乐趣和满意度等建构。

这项定量研究采用偏最小二乘法结构方程模型 (PLS-SEM), 对576名移动电子钱包用户进行了在线调查。

主要研究结果表明, 该模型可以解释58.8%的行为意图和53.8%的使用差异。此外, 移动自我效能感对感知到的享受有显著影响。感知到的享受显著影响满意度、努力期望和绩效期望。此外, 与绩效期望相比, 努力期望对顾客满意度有显著影响。此外, 尽管绩效期望、社会影响和满意度对消费者的行为意图有显著影响, 但努力期望和便利条件对消费者的行为意图没有显著影响。电子钱包的利益相关者可以利用本研究的结果来做出有关电子钱包生态系统的战略决策。

尽管之前的研究已经独立地探讨了移动自我效能、感知享受和满意度对消费者行为意图和使用行为的影响, 但本研究提出的具有可能关系的扩展框架在之前的研究中从未基于实证分析对发展中国家的电子钱包进行充分研究。本研究是通过实证分析这些关系来改进UTAUT的首次尝试之一。

There is a need for behavioural research within the smartphone context to better understand users’ behaviour, as it is one of the reasons for the proliferation of mobile threats. This study aims to identify the human factors that affect smartphone users’ threat avoidance behaviour.

A structured literature review (SLR) was applied to answer the research question. A total of 27 sources were analysed, from which 16 codes emerged. After synthesis, six themes transpired.

Six factors were identified as drivers and/or challenges of smartphone users’ threat avoidance behaviour, namely, knowledge and awareness, misconceptions and trust, cost and benefit considerations, carelessness, perceived measure effectiveness and the user’s perceived skills and efficacy.

The results can encourage and provide a starting point for further research on human behaviour to improve smartphone user behaviour.

The mobile industry should focus on eradicating common misconceptions and undue trust in mobile security that is prevalent among smartphone users and make cost effective and usable interventions available. Training and awareness programs should be updated to include the factors that were identified in this study to affect smartphone users’ threat avoidance behaviour. In addition to improving users’ declarative knowledge concerning available smartphone measures and tools, procedural knowledge should also be improved to ensure proper use of available protective measures. Users should realise the importance of staying updated with evolving smartphone technology and associated threats.

This study acknowledges and supports the notion that addressing human behaviour is crucial in the fight against mobile threats. It addresses the need for behavioural research to analyse the factors that drive smartphone user behaviour. Furthermore, it uses and documents the use of a SLR, a research technique often unfamiliar among information security researchers.

This paper presents recently published resources on library instruction and information literacy, providing an introductory overview and a selected annotated bibliography of publications covering various library types, study populations and research contexts.

This paper introduces and annotates English-language periodical articles, monographs, dissertations, reports and other materials on library instruction and information literacy published in 2020.

The paper provides a brief description of all 440 sources and highlights sources that contain unique or significant scholarly contributions.

The information may be used by librarians, researchers and anyone interested in a quick and comprehensive reference to literature on library instruction and information literacy.

The goal of this paper is to identify the main factors influencing mobile service adoption and define a universally applicable holistic concept capable of explaining all types of mobile service adoption that will be useful to all stakeholders.

A systematic method was used to identify and select relevant articles for appraisal and analysis of their data, as well as to summarize existing research in mobile service adoption studies.

After reviewing and analyzing the articles, 25 major variables were identified. According to the article analysis, usefulness and experience were identified as the primary motivators for adoption, and that negative barriers to adoption must be controlled in order to improve adoption. Demographics play a role in adoption and technology acceptance model (TAM) emerged as the most suitable model to study the variables affecting mobile service adoption.

The generic concept of mobile services adoption will help industry stakeholders and researchers to use a more focused approach to study and encourage adoption and use of mobile services. Empirical testing of the proposed concept is a limitation which can also be a future scope of the study.

The review provides a holistic mobile services adoption process which is able to define adoption for all kinds of mobile services and is universally applicable as well. The study presents potential implications and relevant insights in mobile services adoption and contributes to a better understanding of mobile service adoption process.

The purpose of this study is to explore the relationship between mobile self-efficacy and personal information management (PIM) practices through mobile phones and smartphones, and additionally, to explore the challenges of using a smart device for PIM.

This study followed Preferred Reporting Items for the Systematic Review and Meta-analysis (PRISMA) guidelines to achieve the objectives. A comprehensive search strategy, inclusion criteria and exclusion criteria were formulated in light of PRISMA guidelines. The data were collected from different scholarly repositories, databases and core journals of PIM. The studies were included after four steps, i.e. identification, screening, eligibility and inclusion of studies.

Findings revealed that there was a positive relationship between mobile self-efficacy and PIM via mobile phones. People used two techniques for finding and re-finding information via mobile phones/smartphones. These techniques include browsing and searching information. People send information, share with others and save in draft folders to emails in mobile phones/smartphones for keeping information for future use. They organize their personal information in folders and use different applications such as Evernote, Google Calendar, alarm and organizer. They uninstall and update mobile applications with new versions, clear phone call history and backup personal information to desktop devices and cloud services to maintain personal information. PIM via mobile phone/smartphone challenges were also identified. These challenges were classified as information related challenges, technical challenges, mobile phone adaptability challenges and miscellaneous challenges.

This study will help library professionals and decision makers to devise information literacy instruction programs according to the users' needs. The results of this study will also open new horizons for system designers to devise mobile-based PIM tools according to users' needs.