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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.

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.

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.

The COVID-19 pandemic has disrupted various systems that drove people to adapt to certain technologies, such as electronic government services, for daily survival and to meet social distancing requirements. Therefore, this study aims to determine the antecedents of e-government use based on prospect theory and modified unified theory of acceptance use of technology (UTAUT) during a pandemic.

Convenience sampling of 368 respondents from Vietnam was conducted, and questionnaires were distributed personally or by email. The data were analyzed following a two-stage structural equation modeling (SEM) using SPSS v23 and AMOS v23. The validity and reliability of the instrument were tested and ensured.

Results show that perceived severity drives government support and social influence while perceived security drives government support, social influence and trust. Social influence enhances government support and trust, which both drives e-government use. Mediation analysis shows that government support mediates perceived the influence of perceived severity on e-government use.

The integration of prospect theory and UTAUT brings into light what will drive the adoption of e-government in the context of Vietnam. Supporting mechanisms, such as security measures, trust-building, government support and social influence, will drive citizens to adapt to technologies provided by the government but would also rely on the perceived risks and benefits.

This study integrates prospect theory and a modified version of UTAUT to explain the drivers of e-government use. The results reveal that under uncertainties, government support is critical in driving the use of e-government for people to manage the daily lives for survival.

Blockchain’s potential is so significant that business activities across all industries can be drastically altered. Furthermore, the characteristics of blockchain appear to be well-suited to accounting requirements. However, accounting professionals’ attitude and intention toward blockchain adoption are not clear, particularly in India. Thus, this study aims to investigate and evaluate accountants’ intention to adopt blockchain technology in accounting activities.

This study examined and assessed accountants’ intention to use blockchain in accounting. To effectively measure usage intention, this study extended the unified theory of acceptance and use of technology (UTAUT) model by including context-specific constructs. To empirically test and validate the proposed model, data were collected from “369” professional accountants in India.

The findings revealed that facilitating conditions, performance expectancy and initial trust had a significant impact on adoption. Furthermore, the regulatory framework materially moderated the association between usage intention and its predictors.

These findings provide new empirical evidence about the impact of different predictors of usage intention by extending the UTAUT model. Relevant stakeholders can refer to this pioneering study to increase the adoption of blockchain as an efficient and trustworthy system among professional accountants, particularly in developing countries such as India.