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This paper aims to study the adoption of mobile technology in business and its determinants. A diagnostic tool for proper adoption of mobile technology is developed.

Grounded on the fit‐viability framework, the paper uses a multi‐case study via the fit and viability dimensions to examine the success or failure of mobile technology applications in business.

By drawing upon multiple streams of theory building, the paper is able to develop a set of measurement instruments to assess the fit and viability in adopting mobile technology. The findings demonstrate that the fit‐viability model (FVM) provides useful guidelines for enterprises in their decisions on whether to adopt a mobile technology.

First, the theoretical generalizability of the FVM needs to be more carefully observed in future studies. Second, the findings are exploratory and more extensive studies may be necessary.

Chief information officers and managers can use the developed instrument to measure the fitness and viability of implementing mobile technology in organizations. This should be able to increase the possibility of success.

This is one of the first papers to combine the fit and viability aspects and to empirically demonstrate the value of this two‐dimensional model.

This study aims to investigate how aspects of mobility affect social media advertising effectiveness (i.e. consumer purchase intention) on mobile platforms from the perspective of the fit-viability model.

Data were collected through an online questionnaire survey of 378 WeChat users and used to test hypotheses with structural equation modeling.

Consumer purchase intention is significantly positively influenced by time flexibility, spatial flexibility, mobile lifestyle and ad relevance. Meanwhile, ambivalence toward ads mediates the relationships of time flexibility and spatial flexibility with purchase intention and moderates the relationships of mobile lifestyle and ad relevance with purchase intention.

The findings offer researchers and practitioners a new angle to understand advertising effectiveness on mobile social media and extend the application of the fit-viability model.

This paper fills the research gap on the role of mobility in social media advertising.

The purpose of this paper is to analyse which factors impact firms' perceived performance in mobile commerce (m‐commerce). Introducing the perspective of firms, the paper advances the literature of m‐commerce adoption that mainly focuses on the consumer standpoint.

The authors complement the technology‐organization‐environment (TOE) framework by adding customer value for the firm and the relationship marketing and fit‐viability approaches. Using a sample of 125 Spanish firms, structural equations models are used to validate measures and test the proposed hypothesis.

The main limitation of this work is the sample size. New studies using larger and more heterogeneous samples in terms of size could consolidate the results achieved in this work, that must be understood as a first step in the analysis of firm m‐commerce adoption.

Findings show that the perception of performance by firms engaging in m‐commerce depends on the extent to which firms' activity fits mobile business, technological competence and customer value for the firm.

Content providers, operators or payment platforms may find in the paper arguments to favour the incorporation of clients to this new channel.

This is one of the few papers adopting the perspective of firms, since most of the literature approaches the matter from the consumer standpoint.

This study uses the technology fit–viability theory to study the performance of one of the early pioneers of open government data (OGD) in Africa. The study aims to investigate the task and technology fit, as well as the economic, IT infrastructure and organisational viability as performance measures for the Ghana Open Government Data (GOGD) initiative.

The study adopted a qualitative approach by interviewing key actors within the GOGD ecosystem, namely, the OGD implementing body, data suppliers and data users. The results were compared with established OGD best practices and standards around the world.

The results suggest that Ghana’s OGD architecture appears far from meeting its fit and viability goals because of lacklustre performance attributed to the following factors: a complete lack of synergy among various stakeholder groups and actors in the GOGD ecosystem, a lack of sustainable financial support for the implementing body, a shortage of qualified staff for the GOGD project and partial neglect of GOGD as a consequence of the implementation of a new project called eTransform.

This research is limited to Ghana’s OGD initiative. Perhaps, a comparative study on the performance of other OGD initiatives in Africa and other developed countries will present another view of how OGD initiatives are performing across the globe. Again, the number of interviewees in the study may not be sufficient to generalise the results.

The study guides developing economies on how to examine national and international legal frameworks that have consequences on the usage of OGD at the national and sub-national levels. Besides, the study results will help implementing agencies and by extension government to be wary of the consequences of neglecting relevant stakeholders in the implementation process. The study also emphasizes on the need for developing economies to have sustainable funding and technical support for OGD implementation.

The study helps shape citizens’ understanding of what the government is doing pursuant to making data readily available for them. Because OGD spurs innovations, citizens’ continuous involvement is key in the process of realising government drive to be open and accountable to citizens through data.

This research is the first, to the best of the authors’ knowledge, to present a retrospective and prospective view of a country’s OGD implementation to ascertain the country’s fit and viability. More uniquely, this study will be the first, to the best of the authors’ knowledge, in assessing the performance of OGD setup in Africa.

This paper aims to develop a model and measurement to investigate the factors influencing cloud computing adoption as a part of developing countries’ alternatives to implement e-government services.

This study proposes a theoretical model based on the literature of technology adoption models. It constructs scale measurements for the proposed model constructs by extracting and adapting the items from the literature. The authors verify the scales’ content validity and reliability by applying face validity, pre-testing and pilot study. For the pilot study, the authors collect the data from 26 information technology staff in five public organizations in Yemen. The authors test the reliability of the scales using Cronbach’s alpha criterion, and then conduct exploratory factor analysis to evaluate the validity of the scales.

The results show that the scale measurements meet the conventional criteria of reliability and validity.

Theoretically, this paper provides an integrated model for examining cloud computing adoption for e-government implementation in developing countries. In addition, it develops an instrument to empirically investigate the influencing factors of cloud computing adoption in the context of developing countries’ e-government initiatives.

While the adoption of health-analytics (HA) is expanding, not every healthcare organization understands the factors impacting its readiness for HA. An assessment of HA-readiness helps guide organizational strategy and the realization of business value. Past research on HA has not included a comprehensive set of readiness-factors and assessment methods. This study’s objective is to design artifacts to assess the HA-readiness of hospitals.

The information-systems (IS) theory and methodology entail the iterative Elaborated Action Design Research (EADR)method, combined with cross-sectional field studies involving 14 healthcare organizations and 27 participants. The researchers determine factors and leverage multi-criteria decision-making techniques to assess HA-readiness.

The artifacts emerging from this research include: (1) a map of readiness factors, (2) multi-criteria decision-making techniques that assess the readiness levels on the factors, the varying levels of factor-importance and the inter-factor relationships and (3) an instantiated system. The in-situ evaluation shows how these artifacts can provide insights and strategic direction to an organization through collective knowledge from stakeholders.

This study finds new factors influencing HA-readiness, validates the well-known and details their industry-specific nuances. The methods used in this research yield a well-rounded HA readiness-assessment (HARA) approach and offer practical insights to hospitals.

The paper's aim is to provide a tool for decision makers to make more informed decisions regarding their investment in advanced technologies.

Selection of an advanced technology for adoption requires evaluation of several competing alternatives. The difficulty in the evaluation process arises when the ranking of the alternatives is not possible from the result of the financial analysis alone. The purpose of this study is to overcome such difficulty by considering other factors that allows distinction among alternatives with similar economic evaluation results. This is accomplished by identifying the risks or undesirable consequences of technology implementation and including them in the evaluation process. These are costs that are not measurable for inclusion in the financial analysis but could have major impact on the final selection. Owing to uncertainties involved with adoption of a new technology, the involvement of human expertise and judgment seems to be essential in the evaluation process. To accomplish this a process is proposed where decision maker's perceptions on the performance of technology alternatives along with the importance of the relevant risks are solicited in linguistic terms. Fuzzy numbers are then used to represent these linguistic perceptions. Fuzzy arithmetic operators are applied to calculate an aggregate fuzzy score for each alternative. These fuzzy scores are then converted to crisp scores to allow the ranking and selection of the best alternative.

Addition of subjective perceptions to the purely quantitative approach provides a more realistic evaluation process.

The proposed procedure can help practitioners with their technology adoption decisions.

The value of the paper is the inclusion of the decision maker's judgment in the evaluation process by use of fuzzy logic.

This paper aims to propose a conceptual framework showing factors favoring the adoption of information systems (IS)-based service innovations in the public sector at the organizational level.

The research design is based on the development of a theoretical framework from the technology–organization–environment framework and from a case study of an outsourced IS-based electronic document management system from six different ministries in the same state in Mexico.

Strong contrasts in the degree of adoption of the service innovation appeared among various ministries involved in state government, revealing differences in the presence or absence of key variables, integrated into theoretical framework, including perception of external pressure; perception of benefits and risks and organizational readiness; and political, sociotechnical and economical inertia in given institutional conditions, leading to different public value outcomes associated with intraorganizational efficiencies and to the relationship between public administration and politicians.

Public managers must consider process mapping and sources of political, sociotechnical and economical inertia in given institutional conditions, to ensure a satisfactory adoption of service innovations in public administration and create public value. The promotion of a more structured and enduring professional career system in such context is another key to the adoption of innovations.

Based on theoretical and empirical grounds, the main contribution of this paper is to emphasize, through an integrated theoretical framework, the relatively unexplored roles of process mapping in organizational readiness and of political, sociotechnical and economic sources of inertia in relation to specific agents in the adoption of public sector service innovations at the organizational level in the context of the public administration in Mexico to produce public value.