Search results

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 develop a taxonomy of requirements for mobile BIM technologies (MBT), clarify the relating terms and concepts, and identify the interactions between MBT features and the construction management functions on sites.

A positivist approach with elements of interpretivism is adopted to allow to capture what is perceived as “reality” in relation to individuals’ interpretation and experience in the use and implementation of MBT. This is achieved by using a mixed qualitative-quantitative approach that can capture the various understandings of MBT. The research methods included a longitudinal case study over 12 months, two project workshops, expert interviews and an industry survey that together helped to investigate MBT at project, enterprise and industry levels.

The MBT requirements taxonomy included requirements relating to both project and organisation. Project requirements addressed MBT functionalities for sites and information management, while organisation requirements focused on the integration of MBT solutions with the enterprise from information technology, legal and security perspectives. A detailed matrix showing the interactions between five key MBT features and seven construction management functions was also developed.

The two constructs developed by this study can help researchers to structure their investigation of key uses of MBT applications and their benefits. It can be used by researchers aiming to investigate integrated approaches to the digitalisation of construction sites, such as those enabled by Digital Twins. The interaction matrix can aid researchers in evaluating the intersections between the MBT functionalities and the site construction management functions (e.g. theoretical analysis of interactions from Lean Construction, benefit evaluation perspective). More broadly, the two constructs can support research and practice investigating the development of data-driven approaches on construction sites.

The developed MBT taxonomy can guide construction organisations in selecting suitable MBT for Field BIM for their projects. It can also act as a baseline against which varying MBT solutions can be compared.

Constructs such as taxonomies for MBTs; an understanding of MBT capabilities and use within the industry; and a lack of delineation between related terms, such as Mobile BIM, Field BIM, Site BIM, Cloud BIM and Mobile Apps, were lacking in the literature. This study contributed to addressing this gap.

Mobile computing enables mobile devices to boost restricted resources, and this further includes processing, storage space and battery freedom with the help of cloud facilities. Cloud computing (CC) enables users to obtain admission to energy from another location, providing movement, and enabling common data admission. This chapter is tailored towards responding to a variety of the main challenges of the construction industry with the help of utilising mobile cloud solutions and services. The main benefits of embracing CC largely centred on resources which are expressed in cost reduction, system mobility, system flexibility and system maintenance, while the threats are information protection, individual accessibility, governing conformity, data location, accessibility and also disaster recuperation. This chapter provided necessary solutions to the main threats in the construction industry in terms of design, materials, finance, management and knowledge with the application of mobile cloud computing.

The purpose of the study is threefold: first, to identify what factors influence mobile users' willingness of news learning and sharing, second, to find out whether users' learning in the news platforms will affect their sharing behavior and third, to access the impact of sharing intention on actual sharing behavior on the mobile platform.

This study proposes an influence mechanism model for examining the relationship among the factors, news learning and news sharing. The proposed mechanism includes factors at three levels: personal, interpersonal and social level. To achieve this, researchers collected data from 474 mobile news users in China to test the hypotheses. The tools SPSS 26.0 and AMOS 23.0 were used to analysis the reliability, validity, model fits and structural equation modeling (SEM), respectively.

The findings indicate that news learning on the mobile platforms is affected by self-efficacy and self-enhancement. And news sharing intention is influenced by self-efficacy, interpersonal trust, interpersonal reciprocity, online community identity and social norms positively. News sharing intention has a significant effect on news sharing behavior, but news learning has an insignificant relationship with new sharing.

This study provides practical guidelines for mobile platform operators and news media managers by explicating the various factors of users' engagement on the news platforms. This paper also enriches the literature of news learning and news sharing on mobile by the integration of two theories: the social ecology theory and the interpersonal behavior theory.

Enabled by pronounced advancement in technology, branded apps have dramatically changed how consumers communicate with brands. However, despite the proliferation of mobile apps, brands are struggling to engage users. Without engagement, a mobile app is unable to attract continued usage and brands are unable to establish relationships with consumers. Grounded in construal level theory, this study aims to adopt a fresh perspective to examine the determinants of psychological distance, which plays a key role in branded app engagement.

An online survey with valid data from 396 app users of UberEats, Foodpanda, 7-11 and FamilyMart in Taiwan was conducted.

Perceived synchronicity, localization, homophily, ease of use and design aesthetics are the key determinants that drive branded app engagement, which, in turn, facilitates continuous app usage intention, a positive brand attitude and brand loyalty.

This study contributes to the literature by revealing the five determinants of psychological distance that exert impacts on the establishment of branded app engagement. This research provides valuable findings that practitioners can emphasize to drive branded app engagement.

This study aims to provide a systematic review of consumer privacy literature in the context of smartphones and undertake a comprehensive analysis of academic research on this evolving research area.

This review synthesises antecedents, consequences and mediators reported in consumer privacy literature and presents these factors in a conceptual framework to demonstrate the consumer privacy phenomenon.

Based on the synthesis of constructs reported in the existing literature, a conceptual framework is proposed highlighting antecedents, mediators and outcomes of experiential marketing efforts. Finally, this study deciphers overlooked areas of consumer privacy in the context of smartphone research and provides insightful directions to advance research in this domain in terms of theory development, context, characteristics and methodology.

This study significantly contributes to consumer behaviour literature, specifically consumer privacy literature.

This study investigates the motivation among customers to be more loyal to online food delivery applications (OFDA) services even after the COVID-19 epidemic by using perceived service quality aspects in Sri Lanka. The data were gathered by physically distributing a self-administrated questionnaire to clients in Sri Lanka who continue to use OFDA services on platform to customer (P2C) service delivery platforms to buy food despite the COVID-19 outbreak. Multiple regression is employed to analyse 287 effective observations, and the data revealed the significant positive effect of interaction, environment, outcome, and food qualities on customer loyalty to OFDA services. In fact, there is no impact from the delivery quality on customer loyalty to OFDA services due to outsourced food delivery. The findings suggest regular improvements in attributes such as interaction, environment, outcome, and food qualities in this hyper-competitive business environment. Further, this study sets substantial facts for the interested parties to establish an exemplary delivery system and other technological advancements to have a sustainable competitive advantage and solid customer base in the long run.

This study aims to empirically examine the factors that affect mobile loyalty (m-loyalty) and its influence on customer reuse intention towards mobile instant messaging services. This study identified measurement items to assess the business users and individual users reuse intention towards mobile instant messaging services and test the relationship in the conceptual model. This study bridges a literature gap focusing on m-loyalty and its impact on customer reuse intention, which has not received attention previously.

To evaluate the influence of the factors, this study identified and extracted the items from past literature to develop the survey instrument. This study surveyed 600 respondents including business users and individual users from the Delhi-National Capital Region of India and applied the structural equation modelling to test the conceptual model.

The results revealed that satisfaction and m-loyalty have a direct effect on the business users and individual users’ reuse intention of mobile instant messaging services. This study found that satisfaction, usability, perceived value, commitment, trust and m-loyalty influence on business users reuse intention. This study indicate that enjoyment has an insignificant relationship on m-loyalty for business users followed by usability and enjoyment has an insignificant relationship on m-loyalty for individual users. Further, female gender does not moderate the relationship between satisfaction and business users reuse intention. The cognitive absorption and the unified theory of acceptance and use of technology (UTAUT) theories supported evaluating the association between the factors in the context of business and individual users reuse intention of mobile instant messaging service.

The empirical findings imply that all the factors except enjoyment have directly influenced the business users reuse intention of mobile instant messaging. The significant influence of usability factor on the business users reuse intention towards mobile instant messaging is the major variation between the validated models of business and individual samples. The results of influencing factors of m-loyalty and its impact on customer reuse intention are associated with cognitive absorption and the UTAUT theories.

Focus on these factors can be beneficial for the business users, managers, mobile instant messaging service providers and application developers to increase customer loyalty and reuse intention for the mobile instant messaging services. This research will facilitate mobile instant messaging service providers to keep their services market relevant and focus on user satisfaction in building applications for loyalty.

This research identified measurement items from earlier literature to identify, analyze and verify the relevance of these factors in m-loyalty and customer reuse intention of mobile instant messaging services and fill the gap in customer reuse intention of mobile instant messaging services literature.

This study aims to examine the key antecedents influencing the private firm’s intention to adopt big data analytics (BDA) in developing economies. To do so, the study follows the sequential explanatory approach.

To test the hypothesized model that draws on the technology–organization–environment (TOE) framework paired with the diffusion of innovation (DOI) theory, a purposive sampling technique was applied to gather data from 156 IT and management domain experts from the private firms that intend to adopt BDA and operate in Pakistan’s service industry, including telecommunication, information technology, agriculture, and e-commerce. The data were analysed using the partial least squares structural equations modelling (PLS-SEM) technique and complemented with qualitative analysis of 10 semi-structured interviews in NVIVO 12 based on grounded theory.

The empirical findings revealed that the two constructs – perceived benefits and top management support – are the powerful drivers of a firm’s intention to adopt BDA in the private sector, whereas IT infrastructure, data quality, technological complexity and financial readiness, along with the moderators, BDA adoption of competitors and government policy and regulation, do not significantly influence the intention. In addition, the qualitative analysis validates and further complements the SEM findings.

Unlike the previous studies on technology adoption, this study proposed a unique research model with contextualized indicators to measure the constructs relevant to private firms, based on the TOE framework and DOI theory, to investigate the causal relationship between drivers and intention. Furthermore, the findings of PLS-SEM were complemented by qualitative analysis to validate the causation. The findings of this study have both theoretical and practical implications.

The increasing adoption of informatization in the architecture, engineering, and construction (AEC) industries has raised the competency requirements for AEC practitioners. However, existing research primarily focuses on the integration of emerging technologies in AEC education programs, with little attention to the development of informatization-related competencies. Therefore, this paper aims to explore the competency requirements in the information age of the AEC industry.

Taking a policy perspective, this study investigates the competency requirements within the context of AEC industry informatization. By employing a competency-based theoretical framework, content analysis is conducted on China's policy document, the Outline of the Development of Informatization in the Construction Industry.

The study identifies crucial emerging technologies in the AEC industry, such as building information modeling (BIM), Big Data, Internet of things, networking, and cloud computing, along with their application scenarios. It considers various market players, including survey and design institutes, construction companies, and general contracting enterprises. Comparative analysis reveals the technology application patterns of these market players, shedding light on their preferences and perspectives. Based on these findings, the study proposes recommendations for competency requirements in the AEC industry.

This study extends the competency-based theory to AEC education from a macro perspective. The findings enhance understanding of informatization by providing insights into the related technologies, their applications, and the market players utilizing them. Moreover, the study's results have significant implications for AEC education, particularly in the design of curriculum systems for emerging technology-related fields.