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The purpose of this paper is to develop a process model of an implementation of an emerging information technology in a library. The study was motivated by a lack of process model that can guide existing and future library managers in implementing such technology.

The model was developed using the qualitative research method. Specifically, the case study research approach was employed to investigate how the first public library in the UK implemented the Radio Frequency Identification (RFID) technology. Interviews were conducted with the people who were involved in the implementation of the technology.

A process model of emerging IT implementation in a library was developed. The model is divided into three phases: before, during and after the installation. It consists of ten activities, starting from soliciting requirements until enhancing the RFID system.

The model developed in this study overcomes the lack of a model on emerging IT implementation process. However, it was based on the implementation of RFID technology. Future research can enhance the model by using it on future library technologies.

Library managers may use the model to guide them in the implementation of emerging IT generally, and RFID specifically.

The contribution of this study lies in the new model of emerging IT implementation process.

Drawing upon a systematic literature review in new technology, innovation transfer and diffusion theories, and from interviews with technology leaders in digital transformation programs in the US Oil & Gas (O&G) industry, the authors explore the relationships among O&G industry dynamics, organization's absorptive capacity and resource commitment for new digital technology adoption-implementation process.

The authors employed the empirical survey method to gather the data (a sample size of 172) in the US O&G industry and used structural equation modeling (SEM) to test the measurement model for validity and reliability and the conceptual model for hypothesized structural relationships.

The results provide support for the study’s causal model of adoption and implementation with positive and direct relationships between the initiation and trial stages, between the trial stages and the evaluation of effective outcomes and between the effective outcomes and the effective implementation stages of digital technologies. The results also reveal partial mediating relationships of industry dynamics, absorptive capacity and resource commitment between respective stages.

Based on the current study's findings, managers are recommended to pay attention to the evolving industry dynamics during the initiation stage of new digital technology adoption, to utilize the organization's knowledge-based absorptive capacity during digital technology trial and selection stages and to support the digital technology implementation project when the adoption decision of a particular digital technology has been made.

The empirical research contributes literature on digital technology adoption and implementation by identifying and demonstrating the importance of industry dynamics, absorptive capacity and resource commitment factors as mediating variables at various stages of the adoption-implementation process and empirically validating a process-based causal model of digital technology adoption and a successful implementation project that has been missing in the current body of literature on digital transformation.

The purpose of this article is to develop a configurational approach based on the TOE framework (technology, organization and environment) to understand the degree of implementation of I4.0 technologies in manufacturing small- and medium-sized enterprises (SMEs). Specifically, the study considers technological infrastructure and competence, I4.0 integration capabilities, organizational agility and strategic flexibility, environmental dynamism and industry-specific forces as simultaneous pre-conditions for achieving an effective implementation of I4.0 technologies.

This study uses the fuzzy-set qualitative comparative analysis (fsQCA) methodology as it allows for asymmetric and configurational-focused testing of proposition and sound theoretical development. In total, 305 responses were collected through a survey administered to SME managers in Europe and the United Kingdom (UK).

The study examines the influence of technology, organizational and environmental aspects on I4.0 technologies implementation in SMEs. High I4.0 degree of implementation is structured around 5 configurations, while other 4 configurations are related to low levels of I4.0 implementation.

This study proposes a configurational approach for SMEs to become I4.0 ready and how they may successfully implement I4.0 technologies. Such findings represent an original and novel contribution to existing research, offering a broad view on the I4.0 implementation by manufacturing SMEs.

Examines factors affecting the implementation of business process re‐engineering (BPR) projects using Internet technology. Although there has been some empirical investigation of BPR, no research to date has specifically examined BPR when Internet technology is used during implementation. Radical changes may occur as a result of an organization’s BPR implementation causing a BPR project to be unsuccessful. BPR failure rates have been reported as high as 70 percent, making implementation issues especially important. Each information technology (IT) used during BPR implementation may affect managerial factors differently. By determining factors that affect BPR implementation using a specific IT, these factors can be managed to increase the chance of a successful BPR implementation. Uses a survey methodology and correlation analysis to gather information about the relationship between organizational enablers and successful BPR implementations using Internet technology. The factors examined in this research were: egalitarian culture; resource management; resistance management; and change management.

The purpose of this paper is to provide details of a survey conducted into 300 manufacturing SMEs from a range of different industrial sectors. The survey investigates, over a three‐year period, the attitudes towards and benefits obtained by SMEs through the adoption of Advanced Manufacturing Technologies (AMT). Its purpose is to analyse and disseminate these survey data to academics and industrialists.

The paper uses a research survey of 300 manufacturing SMEs. Analysis of the findings is provided and SME characterisation tables are developed.

The paper finds that characterisation, compatibility and innovativeness of SMEs towards AMT implementation were found to vary considerably with the SMEs surveyed. From the survey information, the paper develops a classification system based on the capabilities of these companies to implement Advanced Manufacturing Technologies. The paper will then characterise SME attitudes towards the development of AMT. The paper finally proposes a strategic model for the effective introduction and application of AMT in SMEs.

The survey is limited to SMEs and provides a strong body of evidence relating to AMT development with these companies.

The paper proposes a strategic model for the effective introduction and application of AMT in SMEs. The creation of a generic AMT implementation model provides a framework for a wider number of SMEs to introduce AMT into their respective organisations, since it provides for a systematic approach for SMEs to introduce AMT in an efficient and effective manner, thus reducing implementation costs, minimises risk of project failure and improves project management efficiency.

This paper is the first to explore in depth the AMT implementation issues within SMEs from large‐scale survey data. It not only analyses the survey data but also proposes a model for change, which aims to develop a more structured approach to AMT implementation in SMEs. Therefore, this work will make a contribution to this under‐researched area.

Asks how implementation management affects implementation uncertainty, adaptation cycles and performance. Assesses retrospective case studies of three Swedish FMS implementation processes. The cases represent technically similar systems, but with different project characteristics and degrees of success. Reports the study of timing and source of latent uncertainty variables, where uncertainties are regarded as being caused by misalignments in technology, organization, management and strategy. Also studies the timing and nature of adaptation cycles.

The aim of this article is to analyse the information technology implementation styles in companies and their relation with different indicators of shop floor workers' subjective well‐being. The sample is composed of 11 tile production companies and 285 workers. Results from cluster analysis show two main implementation styles, so‐called “continuous implementation style” and “first‐time implementation style”. Besides, results from MANOVA show significant differences in workers' cognitive well‐being (i.e. job satisfaction, role ambiguity, and positive attitudes toward information technology) but no significant differences in workers' affective well‐being (i.e. job related enthusiasm, job related comfort and general mental health) due to information technology implementation styles. Limitations and future research are discussed.

The purpose of this paper is to propose a model based on participant perceptions and the resulting influences on the outcome of a technology implementation in construction projects. This paper outlines the conception and development of the model.

A qualitative methodology combines implementation theory with the empirical data to conceive the model. Data are collected by an immersed researcher employing a participant‐observation technique.

This perception‐influence (P‐I) model suggests that negative perceptions of value, benefit and usability cause innovation implementations to be ineffective with an end result of discontinued use or neglect. The model maps an innovation implementation through using participant perceptions as the primary model constructs. In the model, each perception is formed by a number of contributing factors and has only a positive or negative associated action.

The P‐I model is a planning and evaluation tool that is useful for technology managers at any stage of an innovation implementation.

The paper puts forward a new perspective for implementation research in construction.

This paper aims to present an overview of the findings of a study aimed at investigating industry‐specific factors that influence the success of technology implementation in construction organisations. These include: the identification of a need, proposal procedures, benefit identification/evaluation, formulation of implementation strategies, implementation barriers, change management and overall implementation evaluation.

A semi‐structured interview‐based approach is adopted to identify the industry‐specific factors that influence the success of technology implementation in construction organisations. The findings are discussed and recommendations to industry for potential improvements are given.

The extent to which successful technology implementation can be achieved, ultimately depends on the degree to which changes are planned, managed and evaluated. Therefore, technology implementation within construction organisations is not so much a technological problem as it is a human behavioural one.

As technology implementation ultimately consists of changes in practices being made, the fundamental issues regarding technology implementation strategies are well aligned with those of change management. As a result, it is vital that human behavioural and emotional issues are addressed if successful technology implementation is to be achieved.

An investigation into the industry‐specific factors which have resulted in the perception that the construction industry is lagging behind other industries in the uptake of new technologies.

The aim of the research is to identify and prioritise the implementation challenges of blockchain technology and suggests ways for its implementation in supply chains.

Underlined by the technology, organisational, and external environment model, a conceptual framework with four challenge categories and sixteen challenges is proposed. Data collected from three stakeholder groups with experience in the implementation of blockchain technology in India is analysed by employing an analytical hierarchy process method-based case study. Further, a criticality–effort matrix analysis is performed to group challenges and suggest ways for implementation.

The analysis revels that all stakeholders perceive complexity challenge associated with the technology, organisational structure, and external environment, and issues of compatibility with existing systems, software, and business practices to be high on the criticality and effort scales, which thus require meticulous planning to manage. Likewise, top-management support issues related to insufficient understanding of how technology fits with the organisation’s policy and benefits offered by the technology requires high effort to address this challenge.

The results were obtained by focusing on the Indian context and therefore may not apply to other nations’ contexts.

By investigating the challenges that the developers, consultants, and client organisations need to address, this study assists managers in developing plans to facilitate coordination among these organisations for successful blockchain implementation.

To the authors’ knowledge this study is the first to identify and prioritise the challenges from the perspectives of multiple stakeholder groups with experience in blockchain technology implementation.