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This study aims to empirically examine the factors that affect the adoption of RosettaNet standards. The four factors examined in this study are partners' power, trust, products' characteristics, and government influence.

Original research using a self‐administered questionnaire that was distributed to 400 Malaysian electrical and electronics (E&E) organizations. The hypotheses were tested by employing binary logistic regression analysis.

The results show that partners' power, trust, and products' characteristics have significant and positive effects on the adoption of RosettaNet standards.

The generalisability of the findings is limited as the study focuses only on E&E industry in Malaysia.

Organizations planning to adopt RosettaNet standards will be able to make managerial decisions based on the findings from this research.

The findings made a contribution in terms of creating an understanding of the influence of the adoption of RosettaNet standards. This study has filled previous research gap by advancing the understanding between the association of adoption factors and RosettaNet standards adoption.

This study aims to investigate the factors influencing the adoption of data analytics in performance management. By examining the role of organizational and environmental contexts, this study contributes to the existing literature by proposing a novel and detailed technology-organization-environment (TOE) model for the complex interplay between firm characteristics and the adoption of data analytics. The results offer valuable insights and practical implications for organizations seeking to leverage data analytics for effective performance management.

The research draws upon a data set encompassing over 21,869 companies operating across all European Union member states. A multilevel logistic regression model was developed to evaluate the influence of organizational and environmental factors on the likelihood of adopting performance analytics in organizations.

The findings indicate that the lack of awareness of the benefits of data analytics and its practical application to address specific business challenges is a significant barrier to its adoption. Organizational contexts, such as variable-pay systems, employee training, hierarchical structures and frequency of monetary rewards, also influence the adoption of data analytics.

The study informs managers about the strategic role of data analytics capabilities in performance management for improved business intelligence and driving data culture.

The study helps managers understand the strategic role of data analytics capabilities in performance management, leading to improved business intelligence and fostering a data-driven culture in five key areas: structural alignment, strategic decision-making, resource allocation, performance improvement and change management.

The study advances the TOE theory, making it a more detailed and complete framework, particularly applicable to the adoption of performance analytics. It identifies the main factors of adoption that play a crucial role in this process.

The purpose of this paper is to provide an insight about factors affecting Big Data Analytics (BDA) utilization and adoption in Indian firms. Research studies have so far focused on BDA adoption in developed economies. This study examines the factors that influence BDA usage and adoption in the context of emerging economies.

This study proposed a theoretical model of factors influencing BDA utilization and adoption. Two independent research streams – first, the top managers’ perceived strategic value (PSV) in BDA and second, the factors that influence the adoption of BDA theoretically – have been integrated with the technology-organization-environment (TOE) framework. In the BDA context, there was a theoretical necessity to identify the driver and barriers of BDA from the TOE framework on PSV and adoption of BDA. A qualitative exploratory study using face-to-face semi-structured interviews was carried out to collect data from 22 different enterprises and service providers in India. India was selected as the context as it is one of the fastest growing large economies of the world with huge potential of BDA to improve the business landscape.

The results showed that the major reason behind BDA non-adoption is that the organizations did not realize the strategic value (SV) of BDA, and they were not ready to make the changes because of technological, organizational and environmental difficulties. The findings corroborate previous results about significant factors affecting IT adoption and implementation and provide new and interesting insights. The main factors identified as playing a significant role in organizations’ adoption of BDA were SV of BDA, complexity, compatibility, IT assets, top management support, organization data environment, perceived costs, external pressure and industry type.

The main limitation related to this study is the difficulty in generalizing the findings to a larger population of enterprises. To overcome this, a statistical survey has been planned to be conducted in the future.

The BDA adoption model in this study will have both managerial implications for practitioners in India, as well as those in other developing countries, and academic implications for researchers who are interested in BDA adoption in developing counties, in terms of formulating better strategies for BDA adoption. For managers, using the research model of this study could assist in increasing their understanding of why some organizations choose to adopt BDA, while similar ones facing similar conditions do not. Also, the understanding of the strategic utilization of BDA in different business processes may improve the adoption of BDA in organizations.

This paper contributes in exploring and enhancing the understanding of the factors affecting the utilization and adoption of BDA in organizations from an Indian perspective. This study is an attempt to develop and explore a BDA adoption model by the fusion of PSV and TOE framework. The effect of the three contexts of this framework (technological, organizational and environmental) on the strategic utilization of BDA has been studied for the first time.

This article investigates the determinants of knowledge management system (KMS) adoption, specifically with reference to Malaysian organizations across various industries.

The structural equation modelling approach using PLS technique was utilized to analyze the hypotheses developed, based on the survey data from 830 respondents comprised of information technology or knowledge management managers in Malaysian organizations from various industries.

Knowledge management (KM) enabling processes, perceived usefulness of KMS, knowledge sharing culture, knowledge taxonomy, and policy and procedure for KMS work, display significant positive effects on the KMS adoption level, with KM enabling processes having the strongest significant positive influence. Meanwhile, incentive and reward, management commitment, and KMS perceived ease of use possess no significant direct effect. However, management commitment was found to have an indirect effect on the KMS adoption level, where its effect is mediated by knowledge sharing culture.

This article outlines several managerial implications for enhancing the adoption of KMS, which include establishing appropriate KM enabling processes, identifying pertinent information to be preserved, shared, and reuse, and generating initiatives to instil a culture of knowledge sharing.

The empirical findings support the relevancy of the technology acceptance model (TAM) construct of perceived usefulness in KMS adoption context and advances the understanding that knowledge sharing culture is a highly influential factor for this construct. This study enriches and extends technology acceptance theory by presenting a more holistic model for KMS adoption with the integration of influencing factors that are inherent to organization.

Human resources information systems (HRIS) are becoming increasingly important in helping modern organizations manage their human assets effectively. Yet, HRIS adoption remains an under‐researched phenomenon. The purpose of this paper to isolate the factors that influence the organizational adoption of HRIS in public sector organizations.

Adopting the technology‐organization‐environment model as an analytical framework, the paper draws on qualitative evidence from 16 interviews across 11 Australian public sector organizations.

The authors find that champions in public sector organizations should demonstrate HRIS benefits before their adoption can succeed. With standardization trends adopted by HRIS vendors, complete organizational fit between adopted HRIS and business processes may be elusive for adopters suggesting that post‐adoption vendor support must be negotiated if costly customizations are to be minimized. In addition to various organizational factors, including management commitment and human capability, the authors also find that broader environmental factors including regulatory compliance can have a deep impact on the success of HRIS adoption by creating urgency in adoption intentions.

There is paucity of research concerning HRIS adoption in the public sector which presents unique challenges due to its idiosyncrasies. This paper contributes to the existing body knowledge by investigating the role of technological, organizational, and environmental factors and their interactions. It provides an improved understanding of the challenges related to HRIS adoption in public sector organizations.

The aim of this paper is to find out: why some organizations adopt ICT later than the others, and whether organizations have different adoption strategies based on the type of ICT.

This paper is an empirical study of the ICT diffusion process between the early and late adopters of relational database and local area network.

The results of the study indicate that there are significant differences between early and late adoption organizations with regard to management characteristics such as the age and interests of the CEO and CIO, and also the adoption process such as the evaluation period and initiation time. However, no significant differences were found in organization resource or corporate strategy factors. Furthermore, the results of the study indicate that there are significant differences in organizational characteristics such as sales volume, organization slack and rewards between the two types of ICT.

The sample size is relatively small. Replication of this study with additional organizations in the sample will allow stronger validation of diffusion theory.

It is believed that the results of the study will provide useful guidelines in strategy development for managing ICT diffusion by organizations and IT vendors.

Blockchain possesses the potential to disrupt and reshape a plethora of industries in the next decade. However, blockchain adoption rates in technology developed countries, such as Ireland, are relatively low. Motivated by blockchain’s potential to transform sociotechnical systems, the lack of systematic inquiry pertaining to blockchain studies from an information system perspective, the authors propose the following research question: “How do organizational factors influence blockchain adoption in organizations based in a developed country?” Specifically, the purpose of this paper is to elucidate the impact of organizational factors on the adoption of blockchain and the adoption of blockchain in companies based in Ireland.

A comprehensive literature review was conducted, and the methods of qualitative content analysis were used to identify the most important technology–organization–environment (TOE) blockchain adoption factors. Organizational factors are often viewed as the most significant determinants of IT innovation adoption in organizations. Consequently, using a multiple-case study of 20 companies based in Ireland, the authors investigate how the top three organizational factors identified from the blockchain literature affected these companies decision to adopt or not adopt blockchain.

The literature review on blockchain adoption identified specific technological, organizational and environmental factors. Furthermore, the case study findings identified three patterns: top management support and organizational readiness are enablers for blockchain adoption, and large companies are more likely to adopt blockchain than small to medium-sized enterprises (SMEs). The authors explain these patterns by examining the nature of blockchain and the characteristics of Ireland as a developed country. Practical and scientific contributions are also presented.

This study makes several important scientific contributions. First, the findings revealed that top management support and organizational readiness are significant enablers of blockchain adoption. Ireland is recognized as a technology developed country; however, the findings in relation to top management support contradict existing IT adoption literature pertaining to developed countries. Second, previous IT innovation adoption literature suggests that organizations size has a positive influence on a company’s IT innovation adoption process. This study demonstrates that large organizations are more likely to not only adopt blockchain but are also more likely to conduct increased levels of blockchain research and development activities. Finally, and most significantly, the authors identified several patterns, which relate specifically to Ireland as a developed country that influenced the findings. These findings could hold particular relevance to governments and organizations of other developed countries in terms of accelerating blockchain adoption.

The findings about the low level of blockchain awareness and the lack of information pertaining to viable business use cases indicate that the Irish government could play a more significant role in promoting the benefits of blockchain technologies. Further, the findings could also encourage IT providers to formulate enhanced strategies aimed at disseminating information pertaining to blockchain technologies. Second, the positive influence of top management support and organizational readiness, particularly about core competencies, on blockchain adoption suggests that equipping managers with the requisite knowledge and skills will be crucial in adopting these IT innovations. Finally, organizations who adopted blockchain used cloud-based blockchain platforms and tools to overcome the constraints of their initial low levels of organizational readiness.

This is one of the first studies to identify specific TOE blockchain adoption factors. Further, the authors examine how the three most identified organizational adoption factors impact organizations decisions to adopt blockchain. Finally, the authors discuss how the resulting three patterns identified by examining the nature of blockchain and the characteristics of Ireland as a technology developed country.

The purpose of this paper is to examine the motivation, influences, and perceived effect of information and communication technology (ICT) adoption in Botswana organizations. While a conceptual model of the adoption process in developed countries has been studied, not much empirical studies have been undertaken. This paper is an attempt to bridge this gap. Specifically, the paper addresses five questions: What motivated organizations in Botswana in their decision to adopt ICT in their operations? What factors, internal and external, influenced the adoption decision? Which sources did the organizations contact for information on the adoption of ICT? What is the relative importance of those influencing/motivating factors and information sources? What are the perceived effects of adoption?

The study was carried out using a survey method. The main instrument is a personally administered questionnaire that was based on items obtained and adapted from literature. Data were collected from a judgment sample of 29 business and public sector establishments, drawn from nine towns and cities of Botswana. The respondent in each organization was either the IT manager or the chief executive. The initial stage of the adoption process is examined by identifying, in the sample Botswana organizations, the internal and external proponents of the ICT adoption process, the sources from which organizations seek technical information, their perceived relative importance in the process, and the effect of adoption on organizations' activities.

The study found that ICT application in Botswana was still at an elementary stage, mainly communications and recordkeeping. In terms of motivation and influence, the competitive motive and internal sources of information and influence were dominant and that the overall effect of ICT adoption on several organizational activities was moderately positive.

The identification of the key sources of influence and information for the adoption of ICT helps ICT marketing companies to target their marketing efforts more specifically, and services offered limited to basic needs that are relevant to the use to which ICT is currently applied in Botswana. Widespread adoption of ICT has turned it into a kind of “hygiene” factor rather than a “motivator”. In spite of the positive effect adoption has on various activities of adopting organizations, adoption benefits are matched by similar benefits of competing organizations, thus conferring no competitive advantages. It is only in the absence of adoption that those organizations adopting enjoy such competitive advantage.

This paper aims to acquire underlying knowledge of how IT is adopted in private sector organisations and further explore what factors impact its adoption (optimistically and pessimistically).

An interpretive and qualitative multiple case study approach was selected to test and validate the conceptual model empirically. The selection of the interpretivism viewpoint in the context of this research is to understand how government organisations adopt new technologies and support their decisions and actions. The interpretive research methodology is related to data gathering and generating solid descriptions and interpretations and further allows theory building. Through a multiple case study strategy, factors influencing EAI adoption in the government sector are investigated. In doing so, various data collection methods such as interviews, documentation, and observation are adopted.

The author identified 42 critical success factors (CSF) for IT innovation adoption. These factors provide sufficient understanding of their importance when adopting an innovation (technology). The author exploits these factors further when developing a conceptual EAI adoption model and also presents a taxonomy of the IT innovation adoption process. This taxonomy is an eight‐stage adoption process based on studying 11 IT adoption models. Simply acquiring or adopting a technology is not sufficient – in order to obtain the anticipated benefits, IT must be deployed and used appropriately by the organisation and its intended users. However, this taxonomy would further assist in identifying factors affecting IT innovation adoption at each stage of the adoption process.

The proposed conceptual IT innovation adoption model is a contribution to theory. This model presents a detailed list of factors that impact IT adoption in government sector organisations. The author conjectures that each factor within this model signifies its importance and must be considered by organisations while adopting innovation (technology). The taxonomy of the IT innovation adoption process is another contribution. This taxonomy is developed by studying 11 IT adoption models as presented in this paper. This taxonomy identifies the pre‐adoption and post‐adoption stages of an adoption process. Further in this taxonomy, the author identifies stages where the organisation is impacted, i.e. the pre‐adoption stage and post‐adoption, where individual adopters are impacted.

Agile software development (ASD) has emerged as an active research area due to its enormous growth in popularity. The innovative differences between ASD and traditional development include the use of fundamentally different procedures, organizational structures and people, yet organizations still attempt to embrace ASD. Apparently, the underlying factors arousing organizations’ intent to adopt ASD are not well known and have not been well explained in the extant literature. The purpose of this paper is to fill this gap for which the authors propose a conceptual framework based on the business process management (BPM) perspective to identify the environmental stimuli that affect an organization’s ASD adoption.

Proposition for a methodology approach is used to construct a theoretical framework based on existing literature and theories in BPM.

The framework recognizes external and internal environmental stimuli, including institutional isomorphic forces and interior enablers, such as top management championship, the culture type and resource readiness, which affect organizational ASD adoption decisions.

This paper consolidates both the internal and external environmental aspects of the stimuli that lead to ASD adoption and offers insight into creating a suitable context for ASD adoption.