Search results

This study aims to explore the factors influencing the intention to use e-democracy. The literature depicted conflicting results regarding such domain and especially in the Middle East, where the authors aim at establishing a solid view of the discipline.

A research model was developed based on the theory of planned behavior, technology acceptance model and unified theory for acceptance and use of technology-2. The model hypothesized that perceived public value (PPV), ease of use and enjoyment are major antecedents of attitudes, and subjective norms (SNs), perceived behavioral control (PBC) and attitudes are significant predictors of behavioral intentions. A quantitative cross-sectional design was used. A questionnaire was used to explore Jordanian citizens’ perceptions regarding the research model constructs. A sample of 302 Jordanian citizens filled the surveys based on their awareness of e-democracy concepts and their willingness to participate in the study. This study uses the structural equation modeling approach with partial least square as an analysis method.

Findings indicated that PPV, perceived ease of use and enjoyment jointly determine the attitudes of citizens toward e-democracy. Results also suggest that attitudes, PBC and SNs have a significant effect on citizen’s intention to use e-democracy. Finally, this research supported the role of enjoyment as the most significant determinant of citizen’s attitude toward using e-democracy.

This study is limited by its small sample size and newly developed Arabic instrument. Still, results imply that more research is needed to replicate and validate the instrument and support the role of the selected research constructs. Public institutions are required to make e-democracy applications enjoyable and easy to use. They also need to demonstrate its value to the public.

To the best of the authors’ knowledge, this study is one of the few studies to explore e-democracy and the first to conduct an empirical study (survey-based) in Jordan. The foundation of the study depended on three robust theories in the technology adoption theories.

This study investigated the impact of the virtualization requirements of the learning process on students' satisfaction and their intention to continue using online learning.

A research model was developed using the process virtualization theory (PVT); it was validated empirically using data obtained from an online questionnaire-based survey of 489 undergraduate students.

The main results support the role of representation for sensory requirements, sensory requirements, reach, representation for relationship requirements and relationship requirements on shaping students' satisfaction, which all also have a significant influence on students' intention to continue using online learning. Relevance factors are responsible for 61.6% of the variance in students' satisfaction and 83.6% of the variance in their intention to continue using online learning. However, neither the synchronism requirements nor the identification and control requirements had a significant effect on students' satisfaction or on their intention to continue using online learning.

The present research focused on PVT in an online learning context; consequently, a new set of factors that influenced students' satisfaction with and intentions to continue using online learning was empirically tested for the first time. This research contributes to the literature on information systems because it advances the generalizability and applicability of the PVT in a new context and new cultural setting. Moreover, the research apprises researchers and practitioners of new factors, which should be understood and fulfilled to make virtual learning equivalent to the face-to-face learning experience.

The purpose of this paper is to define critical design and evaluation factors of business models (BM) for mobile network operators (MNOs) in general, and more specifically for mobile data services.

This paper follows a qualitative approach. Aiming to identify critical design factors for mobile BMs, this research, as a part of larger research, examines three real-life cases related to mobile data service BM design and engineering. These cases are Orange Business Services (OBS); Apple’s iPhone services and applications, and NTT DoCoMo’s i-mode service.

In this paper, the authors provide a framework for designing and developing Market-Aligned, Cohesive, Dynamic, Explicit, and Unique BMs with Fitting Network-Mode, which, if adopted by MNOs, would ensure their long-term success by improving the sustainability and innovation capabilities of their BMs. These critical design factors address different spheres of the mobile business: “Cohesion” and “Explicitness” are operator-oriented, whereas “Market-Alignment,” “Dynamicity,” “Uniqueness,” and “Fitting Network-Mode” are industry-oriented.

Although the paper provides in-depth analysis of three case studies in the context of mobile telecommunications, the authors cannot claim that the developed framework can be generalized to all services in the mobile telecommunications industry. Further validation through empirical testing is preferred and this could be done in future research.

The developed framework is of value to MNOs as it provides them with a holistic approach for designing and also evaluating successful BMs over time. This is because the developed framework defines critical design factors for BMs in the contexts of their environments.

The domain of BMs is still emerging within the field of information systems. The majority of prior studies either tackled the issue of BM definition or provided taxonomies and classifications of this concept. The originality of this paper comes from the fact that it takes further steps in developing the concept by providing a comprehensive framework which encapsulates critical design and evaluation factors of mobile BMs.

The purpose of this paper is to propose and empirically test a unified framework that captures the antecedents of e-business implementation, that is; organizational factors which is decomposed into organizational capabilities (training availability, technical expertise, knowledge level), knowledge management capabilities (knowledge acquisition, application, and sharing), adhocracy culture, and top management support, e-business implementation, and organizational performance (efficiency, sales performance, customer satisfaction, relationship development).

Data from a survey of 258 top managers in Saudi Arabian enterprises were collected to empirically test the proposed research model. Additionally, the statistical techniques employed included a confirmatory factor analysis to examine the reliability and validity of the measurement model, and structural equation modeling using AMOS is utilized to test the hypotheses.

The findings of this study suggest that organizational factors influence e-business implementation. Moreover, e-business implementation affects organizational performance.

This study did not investigate all organizational factors and knowledge management processes. Future research could assess the influence of additional factors such as technology and environment contexts on e-business implementation.

Owners/managers considering e-business implementation would be best to focus on internal (organizational) factors and their interaction within and beyond the organization, rather than focussing exclusively on technological considerations.

This study is significant for at least two reasons: it determines the key antecedents to successful business implementation based on organizational factors and it helps to understand the effects of e-business implementation on organizational performance.

The purpose of this paper is to present the findings of a bibliometric analysis of the evolution and structure of business model research in industrial marketing scholarship during the period between 2011 and 2020 and to discuss potential directions for future empirical research.

Bibliometric methodologies are deployed to objectively evaluate the business model research that has made the most impact within industrial marketing scholarship as well as the prominent scholars and key topics driving the discipline at points in time.

The findings demonstrate the formative but increasing engagement that industrial marketing scholarship has had with business model literature and the limited but increasing degree that business models have influenced industrial marketing literature. Potential directions for the empirical development of business model literature are argued to lie in the areas of collaboration and coopetition by examining the notion of value within the relationships, interactions and/or networks evidenced in European seaports business models.

Bibliometric analysis is retrospective in nature so developments in the literature appear only after some time has elapsed. Different keyword selection when formulating search strings for sampling may have brought some deviations in the analysis.

Research that investigates the link between business models and industrial marketing is still scarce. This paper is among the few that analyze objectively the evolution and structure of business model literature in industrial marketing scholarship from a longitudinal perspective with a particular emphasis on the period between 2011 and 2020.

Smart-work has been attracting more attention since the COVID-19 outbreak hit the world in 2020. Smart-working practices do not always run smoothly despite the necessary infrastructure being in place. Taking the quality-value-loyalty chain and information system continuance model as the basis, this study aims to identify how “smart-work support service” leads to employees’ continuance intention toward smart-work. In this study, the smart-work support service refers to the infrastructure making smart-work possible and services needed to support smart-work.

Using data collected from a survey of 406 employees working in Korea, this study verifies the components of smart-work support service quality and dimensions of perceived value through partial least squares analysis and then tests the proposed conceptual model using structural equation modeling.

The results verified that the quality of smart-work support service consists of eight attributes while dividing the perceived value of smart-work into three dimensions and further revealed that the service quality influences the intention to continue smart-working by way of perceived value and satisfaction.

This study sought to explore the relationship among service quality, perceived value and satisfaction by clearly conceptualizing and measuring them in the context of smart-work, thereby ultimately understanding the impact they have on the intention to continue smart-work.

The Chinese government hopes to achieve the goal of benefiting citizens by building a National Integrated Online Government Service Platform (NIOGSP). However, citizens' low adoption of the platform makes it difficult for the government to achieve its goal. Research on the influencing factors of citizen adoption of NIOGSP can help the government fully understand the concerns and needs of its citizens and take targeted measures to increase citizen adoption.

First, this research builds a model of the citizen adoption process, including attention, retention and motivation, based on an observational learning model. Next, research variables are determined based on social cognitive theory, literature review and real-world needs. Finally, based on the questionnaire survey and structural equation model, the influencing factors of each stage of the citizen adoption process model are studied and the relationship between the three stages of the model is verified.

Results show that perceived usefulness (PU) and self-efficacy (SE) positively affect attention. SE positively affects retention, while perceived privacy (PP) negatively affects retention. PU, social influence, PP and anxiety positively affect motivation.

The conclusion of this study can provide reference for governments in various countries to establish and improve online one-stop government. In addition, this study verifies the citizen adoption process model and finds that there is no obvious causal relationship between attention and retention, but both have positive effects on motivation.

This study aims to examine the factors that influence the adoption of public services through the latest smart apps designed to provide maximum services within urban local government.

The research is based on a thorough literature review, expert advice on public service delivery and four complementary theories. An empirical survey used a structured questionnaire to collect primary data from citizens in Indian local governments. The data was analysed using structural equation modelling (SEM) and SmartPLS version 4 to assess the measurement and structural models.

The study confirmed that service quality, trust, effort expectancy and social influence are key factors for adopting smart app services. Trust and intention are mediators, while performance expectations do not impact the decision to use smart app services.

The study includes a moderate sample size and a focus on a single developing country, which restricts its cross-cultural applicability. This research investigated the factors influencing individual adoption and use of local government services delivered through smart apps.

The study has significant implications for policymakers, researchers and implementers. It provides insights for developing strategies to increase the use of smart services, thereby enhancing local governance's efficiency, transparency and accountability.

This study enhances existing knowledge by adding service quality, trust and adoption to the model, which helps examine the factors affecting adoption. With limited research on local smart service app adoption, this study provides valuable insights.

There is a growing importance of business intelligence systems (BIS) adoption in today’s digital economy age which is characterized by uncertainty and ambiguity considering the magnitude and influence of data-related issues to be solved in contemporary businesses. This study aims to investigate critical success factors that affect business intelligence efficiency based on the DeLone and McLean model in Jordanian banking industry.

A quantitative research method through a questionnaire was used to collect data from actual users who depend on business intelligence tools to make operational and strategic decisions in Jordanian banks. The data obtained were tested using the partial least squares–structural equation modeling approach.

The survey findings attest that system quality, information quality, user quality, user satisfaction and user performance are important factors and contribute to business intelligence efficiency in the Jordanian banking industry.

The findings gained from this work can help policymakers in Jordanian banks to improve the business intelligence success and organizational performance.

To the best of the authors’ knowledge, this study is the first of its kind to propose a theoretical model to assess drivers of BIS efficiency from the Jordanian banks’ perspective.