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In the organizational technology acceptance (TA) decision-making process, stakeholders have many divergence opinions. Sometimes, an opposing stakeholder of a decision can stop the whole process of decision-making. In such a case, consensus may take a long time followed by a high risk. The purpose of this study is twofold. First, to find the best model with the least prediction error for the simulation of the consensus process in TA decisions. Second, to investigate the time required for the consensus process to yield the TA decision in different scenarios and to propose solutions to reduce the required time in a case study.

This study uses real-world data containing 1,186 actual observations. Stakeholders are decision-maker agents, and the observations are derived from survey data and used for simulation. Data were obtained from 126 experts in the Iranian rail freight industry. Opinion dynamics theory was used for agent-based simulation of stakeholders’ behavior. The agents interacted over time and their effects on other agents’ opinions were investigated.

The results illustrate an appropriate opinion changing model, a data-gathering method and a simulation scenario for TA consensus. The suitable model was selected after examining the advantages and disadvantages of and comparing the prediction results for different models with the real database of opinions. To reduce the consensus process time, the results suggest gathering the team members and networking with some leaders as advocators. A large number of advocators with high acceptability and continuous exchanging messages with other agents can improve the acceptance rate and have the most significant impact on other stakeholders’ opinions.

To the best of the authors’ knowledge, previous studies simulate individual TA processes. However, there is a difference between the individual TA and the organizational TA. The organizational TA requires the simultaneous decision-making of different stakeholders. In this research, the organizational TA was investigated.

The implementation of product lifecycle management (PLM) technologies poses different challenges in comparison to the ones faced by companies using other information systems. Accordingly, the purpose of this paper is to investigate the impact of PLM on both new product development (NPD) process and on users' individual work, and also to analyse the linkages between PLM's organizational impact and users' attitudes towards technology.

This research is based on a survey of PLM end‐users in an aerospace company.

This paper shows that in the NPD process, PLM favoured a tighter workflow logic, easier product carryover, and more efficient product data retrieval. At the individual level, this has led users to spend more time on technical work, without impacting their productivity. This was true in the product design department and for older workers with low job seniority in particular.

Although the findings were drawn from a single case, this paper highlights the contribution made by technology acceptance models in explaining the organizational impact of technologies that support complex knowledge‐intensive tasks.

This paper points out that for a technology like PLM, each user needs different supporting mechanisms depending on his/her role and age. Young workers primarily need adequate sponsorship by top management and compatibility of new technology with their job. Older users, given their higher initial scepticism, need more training in the early phases of a new technology's introduction.

This paper contributes to existing literature by providing empirical evidence of both the impact of PLM systems and the determinants of their acceptance among end‐users.

Much research has been conducted on technology acceptance (TA), which is mainly about the acceptance by one user. As more than one person should be involved in business-to-business TA decision-making, it is suggested that different processes for making a consensus among different stakeholders should be considered. The purpose of this study is to demonstrate a model for essential activities and characteristics of advocators for accelerating the stakeholders’ consensus in the technology acceptance (SCTA).

The conceptual model of this research is presented using a thematic analysis of the interviews with the relevant experts and existing literature. Furthermore, the structural equation model was applied for analyzing empirically how advocators’ characteristics and activities affect consensus. In total, 248 respondents completed the questionnaires. Experts’ opinions, Krippendorff’s alpha index, Cronbach’s alpha coefficient and goodness of fit indices were applied to verify the reliability of the results.

Results show that “being leader” and “being influential” are two main characteristics for the advocators’ team that significantly affect SCTA. Reducing perceived “risk” for each stakeholder, developing a “common understanding” among them and demonstrating “resource readiness” are also the main tasks of advocators leading to SCTA.

The role of advocators in SCTA has been neglected. The main contribution of this study is identifying the required advocators’ activities and characteristics for achieving SCTA.

Although the notable and significant role of building information modeling (BIM) technologies in construction industries has gained user attention, only few studies have been examined on the user adoption of the technologies. The purpose of this paper is to introduce an acceptance model for BIM technologies and investigate how external factors which were extracted by in-depth interviews promote the adoption of such technologies.

An on-line survey was conducted by two South Korean survey agencies to test the acceptance model for BIM technologies. Then, the structural equation modeling (SEM) and confirmatory factor analysis (CFA) methods were used.

The results of the SEM and CFA methods from on-site construction employees (n=818) in Korea collected by the online survey indicate that compatibility and organizational support play a core role in positively and significantly affecting both perceived ease of use and usefulness, and that the connections introduced by the origin technology acceptance model are mainly confirmed.

Using the findings of the results, both implications and notable limitations are presented. Moreover, practical developers, as well as academic researchers can employ the results when they attempt to conduct future research.

To critically examine the current definitions of key constructs of the technology acceptance model (TAM) in a consumer technology‐based service.

Two qualitative research studies were undertaken that encouraged consumers to reflect upon their text message (short message service – SMS) behaviour.

The research highlights the inadequacy of a concentration on simple acceptance of technology where technology is embedded in a consumer community of practice. The existence of counter‐intuitive behaviours, technology paradoxes and intense social and emotional elements in actual text message usage all point to the need for a review of the definition of the key TAM constructs.

There is a need to re‐examine the construct of use behaviour in the context of the practice of technology‐based services that owe much to consumer creativity. Theory development of the constructs of perceived usefulness, perceived ease of use, and perceived enjoyment should not be constrained by adherence to the existing (well developed) quantitative models of technology acceptance. There is a methodological potential of employing consumers as practical authors.

Where there is evidence of counter‐intuitive consumer behaviour in the marketplace for technology‐based products or services, a study of practice, with a view to the subsequent derivation of adapted theory constitutes worthwhile research. This may be of special importance to cell phone operators promoting SMS to US consumers.

The approach offers a method of complementing the dominant quantitative modelling research on technology acceptance. The findings are relevant to an era where consumer co‐creation of value is of increasing interest.

The purpose of this paper is to reveal factors that drive the adoption and use of unified communications and collaboration (UC&C) technology in organizations.

The authors used quantitative method to survey 296 employees from 50 different countries by conducting and international study. Partial least squares -method was used for the latent variables latent variable analysis

The authors found that unified theory of acceptance and use of technology constructs are mainly validated where results suggests that performance expectancy and social influence are the most influential drivers in employee acceptance and use of UC&C in organizations. Social presence, influence of peers and superiors are the main factors to take into consideration when implementation UC&C technology.

The study was not longitudinal in design, which should be addressed by a future study that includes multi-cultural dimensions with a longitudinal design

Awareness through education and training of employees needs to be given very particular attention in the future mobile implementations. Moreover, management and employee support is the critical component of the effective information security governance framework implementation. Finally, mobile strategy needs to go over very precise and detailed planning process to ensure the right technology acceptance by users.

The authors close the existing research gap by providing useful insights into organizations regarding their UC&C technology adoption and use factors

The purpose of this paper is to advance the understanding of paradoxes, underlying tensions and potential management strategies when integrating digital technologies into existing lean-based production systems (LPSs), with the aim of achieving synergies and fostering the development of production systems.

This study adopts a collaborative management research (CMR) approach to identify patterns of organisational tensions and paradoxes and explore management strategies to overcome them. The data were collected through interviews and focus group interviews with experts on lean and/or digital technologies from the companies, from documents and from workshops with the in-case researchers.

The findings of this paper provide insights into the salient organisational paradoxes embraced in the integration of digital technologies in LPS by identifying different aspects of the performing, organising, learning and belonging paradoxes. Furthermore, the findings demonstrate the intricacies and relatedness between different paradoxes and their resolutions, and more specifically, how a resolution strategy adopted to manage one paradox might unintentionally generate new tensions. This, in turn, calls for either re-contextualising actions to counteract the drift or the adoption of new resolution strategies.

This paper adds perspective to operations management (OM) research through the use of paradox theory, and we (1) provide a fine-grained perspective on why integration sometimes “fails” and label the forces of internal drift as mechanisms of imbalances and (2) provide detailed insights into how different management and resolution strategies are adopted, especially by identifying re-contextualising actions as a key to rebalancing organisational paradoxes in favour of the integration of digital technologies in LPSs.

As a little research has been conducted to understand the factors influencing users’ intentions to adopt blockchain-based telemedicine (BBT), it is important to investigate BBT acceptance as incorporation of blockchain technology can solve telemedicine-related issues. Accordingly, this study aims to investigate the factors influencing behavioral intentions (BI) to adopt BBT.

An integrated model comprising the constructs taken from technology–organization–environment framework, technology acceptance model, unified theory of acceptance and use of technology and theory of planned behavior based on their relevance to the context and the objectives of the study has been used for this research. A quantitative approach has been used to test the hypotheses, for which the data was collected from 324 respondents through a self-administered questionnaire. Partial least squares structural equation modeling has been used to test the hypotheses.

The results of the study show that relative advantage, perceived usefulness, trust and perceived ease of use have a significant impact on BI to adopt BBT, whereas regulatory support, subjective norms and facilitating conditions do not have any significant impact on the same.

As the concept of BCT in Pakistan is at its nascent stage and literature regarding this technology’s adoption is also limited, researchers and scholars can apply it to several other fields in Pakistan. For example, this study can be extended to explore the factors influencing blockchain adoption in areas such as education, logistics, transportation, finances and management. This research only considers the direct effects of constructs on BI to adopt BBT and does not consider any mediation and moderations constructs. Future researchers can also study the influence of mediation and moderation constructs on BI to adopt BCT.

Although studies on the acceptance of telemedicine exist, there is a gap concerning the acceptance of BBT, which the current study helps to bridge. From a practical standpoint, the current study makes a highly valuable contribution toward understanding acceptance factors for BBT projects, leading to help policymakers devise policies to promote telemedicine.

Blockchain technology has brought about significant transformation among organizations worldwide. This study aimed to explore the effects of organizational and technological factors on blockchain technology adoption (BTA) and financial performance (FP) in Pakistan.

This is a co-relational study which used the cross-sectional data. We gathered the data from the managers of Pakistan’s small and medium-sized enterprises (SMEs), which functioned their industries with blockchain technology. We applied convenience sampling to identify the respondents. Finally, we based this study’s findings on 274 valid cases.

We used structural equation modeling (SEM) in this study, to exert a positive and significant impact on organizational factors such as organizational innovativeness (OI), organizational learning capability (OLC), top management support (TMS) and organizational work climate (OWC) on BTA. In addition, the technological factors, such as complexity (CTY), technology readiness (TR), compatibility (CBTY) and technology capability (TC), have a positive and significant effect on BTA. Finally, this study’s findings show that BTA positively and significantly impacts FP.

This study’s findings will help policymakers and planners to design policies to adopt other blockchain technologies to improve SMEs’ operations. Moreover, this study’s findings will inspire policymakers and planners to actively seek new ideas, knowledge and skills through acquiring new knowledge to assist with their IT-related decisions.

This study empirically confirms the role of organizational and technology factors toward BTA and FP among Pakistan's SME managers.