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Information and communication technology (ICT) has the potential to address and reduce income inequality. However, since 1980, income inequality in the United States has caused concerns for researchers, policymakers and the public. Entrepreneurs and managers can take advantage of information technologies, while those in the middle and the bottom see fewer benefits. Meanwhile, countries such as Iceland are more capable of using ICT infrastructure to reduce income inequality, which contributes to the well-being of its citizens. This research study explores the relationship between infrastructure diffusion and income inequality through Rogers’s diffusion of innovations theory.

To answer the research questions, the author assessed the data through a series of regression analyses using SPSS. The authors used Power BI software to chart the relationships between ICT infrastructure diffusion and income inequality by country and in the United States by state and region.

The results show diffusion of innovations theory’s tenets do not necessarily hold, because a significant negative relationship exists between infrastructure diffusion and income inequality, especially in countries with emerging economies. In the United States, this relationship significantly differs by region.

This research contributes to research by expanding economic and sociology work to the IS domain, while providing conflicting evidence for diffusion of innovations theory. The research also provides suggestions for practice, such as more focused ICT infrastructure investments and regulations.

Sustainability is increasingly becoming an essential aspect of technological innovations. In addition, the diffusion of sustainable new technology-based products appears to be uneven across the globe. The authors examine the effect of three country-level Hofstede measures of culture and two national-level innovation characteristics on the diffusion of Sustainable New Technology-based Products (SNTP).

Regression and Necessary Conditions Analysis were used to analyze a panel dataset of electric and hybrid vehicles sales from 2008 to 2017 across 89 countries.

Results suggest Long-Term Orientation (LTO) was correlated with SNTP diffusion, Indulgence (IVR) was partially correlated with SNTP diffusion and was also a necessary condition. Surprisingly, Uncertainty Avoidance (UAI) was not correlated with SNTP diffusion. In addition, a national proclivity for developing innovations and a history of utilizing prior generic innovations were both correlated and necessary for SNTP diffusion.

This paper measures the impact of several macro-level variables (culture and other innovation related characteristics of countries) on SNTP diffusion. In addition to regression analyses to measure the average effect size, the authors conduct Necessary Conditions Analysis, which assesses the necessity of a variable for the outcome. These insights may help multinational companies better strategize entry decisions for international markets and aid governments in formulating more effective policies by recognizing and accommodating the influences of national culture and innovation attitudes.

The purpose of this paper is to explore the perceived benefits of integrated reporting (IR) and factors influencing the motives that supervisory board members (SBMs) have for advocating a change towards IR implementation.

An exploratory survey study was conducted to investigate the influence of external market conditions, internal organizational conditions and observed benefits on the motivation to advocate IR adoption in companies that have not yet implemented IR. A unique set of survey data from 62 SBMs of Dutch companies was used for analysing the propositions derived from IR literature and based on institutional theory, legitimacy theory and diffusion of innovation theory.

The respondents indicated to be supportive of IR adoption. SBMs who had experienced the implementation of IR observed that IR offers benefits. Their motives for advocating a change towards IR in companies that had not implemented IR were influenced most by the observed benefits in IR companies. SBMs only involved in companies that had not adopted IR are motivated to support IR adoption to a similar extent. These findings suggest that directly observed benefits by SBMs need to exceed a considerable minimum level before these SBMs are more motived to advocate IR than their peers who have not witnessed the implementation of IR and that experiences are shared across companies. The motivation of both groups is influenced by external market conditions but not by internal organizational conditions.

The findings have implications for potential IR adopters and institutions promoting the further diffusion of IR as they emphasize the need for tangible benefits of IR and confirm that sharing good practices and benefits of IR can provide a catalyst for IR adoption. The findings contribute to the understanding of the motivation of SBMs as an important organizational condition for implementing IR as this study provides insights in the factors that drive this motivation of key actors influencing the decision to implement IR. Furthermore, the finding that these factors predominantly comprise tangible results and external market conditions is relevant from an organizational change perspective.

Understanding the mechanisms of IR-adoption decisions provides a relevant basis for deploying programmes promoting IR as a general reporting standard. This could provide society and a broad range of stakeholders with access to information incorporated in integrated reports. It could ultimately have a major impact on society by improving decision-making and increasing the long-term sustainability of organizations and their relations with stakeholders.

This study provides preliminary empirical evidence concerning the perspectives of SBMs on their motives for advocating IR, based on a unique sample from a country that has been involved with IR from its start.

Technological innovations provide huge opportunities to expand and revolutionize the scope of products and services offered. This is particularly true for tourism, which is undergoing significant changes due to the development of new technologies. The level of technology diffusion depends on several factors like the exchange of information among peers, and the attitude and shared perception among the contributors. The aim of the study is to explore the diffusion of technology in tourism with a specific focus on the social media discourse around new technologies. Thus, the paper investigates the level of interest in these new technologies analysing the information exchange occurring between individuals on Twitter in order to explore the influence of reciprocal networking.

To capture the attitudes expressed in the industry, the study analyses the ongoing discourse on Twitter as a proxy for the participants “interest in new technologies. Through a social network analysis of the tweets and retweets conducted over a period of nine months, the research maps the level of information exchange about the diffusion of new technologies. Moreover, the sentiment analysis provides an interesting overview of the individuals” attitudes towards the awareness or the adoption of new technologies.

Our analysis has provided several insights: (1) the information network on blockchain in tourism consists of participants who change very quickly over time (high turnover of accounts); (2) some contributors have an extremely important role in influencing the flow of information in the system (information centralization), they can have a generalist (discussing several topics) or a specialist (focusing on a specific topic) behaviour and this strategic choice influences their network's structure; (3) these central nodes also have an impact on the definition of positive and negative sentiment towards a topic (sentiment influencer).

The paper contributes to the literature on technology diffusion, by focusing on one of the preconditions of diffusion that is the shared positive attitude towards technological innovation. More specifically, we adopt a network-based approach, which is useful to explain the level of information exchange and the public discourse that can impact the shared perception and attitude towards technological innovation. The study also highlights the role of knowledge brokers in influencing this public discourse. Future studies can deepen the association between positive perception, higher levels of information exchange and increasing usage of specific technologies. Our results also suggest further exploring the opportunity to combine social media data and other sources of information to shed more light on the technological innovation diffusion processes.

This paper shows how practitioners can benefit from the analysis of information exchange about new technologies in tourism adopting a network perspective with the aim of understanding the level of influence among contributors. Moreover, the increasing interest in blockchain technology and the potential combination between social media data and other sources of information can offer promising insights.

The present study explores the level of technology diffusion through the analysis of information exchange on social media (Twitter). Furthermore, the dynamics of individual user behaviour offers a better understanding about media effects.

While previous research is focused on the users' perception towards the development of new technologies in tourism, the aim of this study is to investigate the dynamics behind the level of diffusion of information and awareness about these new technologies, which still represents an unexplored area of research.

With the increasing awareness of sustainability and its importance around the world, corporate social responsibility (CSR) in Africa also requires attention. Based on the stakeholder theory, this study aims to determine the relationship between CSR information received by small and medium-sized enterprises (SMEs) and CSR's diffusion and the mediating role of environmental awareness in Angola as a country representative of the African context.

The empirical study analyzes managers' perceptions of 131 SMEs in Angola. The partial least squares structural equation modeling (PLS-SEM) is the method to assess the relationship between CSR information and its diffusion and the mediating role of environmental awareness SMEs in Angola.

The authors found strong evidence that CSR diffusion, and disclosure as one of CSR's related actions, heavily depends on the information received and managed by the firm. The authors also confirmed that environmental awareness puts pressure on SMEs to increase the SMEs' diffusion efforts.

The study points out the role of managers in promoting a responsible orientation of businesses in Angola for preserving the environment and improving the competitive success of SMEs.

The social, economic and legal contexts of Angola are vulnerable. The findings raise concerns about whether governments and regulatory efforts improve the development of the strategies toward social responsibility of African firms and whether these firms also increase the role of SMEs in producing positive outcomes through CSR.

The results of this study contribute to a better understanding of the features of the strategic orientation of SMEs in Angola, necessary to enhance CSR and protect the environment. The conclusions highlight the potential role of managers in promoting a culture of ethics, social innovation and successful competition change in businesses.

Three-dimensional (3D) printing (3DP) offers a promising value proposition across multiple manufacturing industries. Despite the variety of production benefits the technology entails, its rate of adoption is still low compared to industry forecasts. In face of this challenge, industry as well as academia requires more information and guidance. This review aims to examine the characteristics of the existing body of research on the organizational adoption of 3DP as well as its underlying theoretical concepts. The most common criteria driving adoption will be derived, such as to facilitate the managerial decision-making process. Pathways for future research will be presented.

This study underlies a bibliometric literature review and additionally applies content analysis to systematically investigate the existing body of research and group decision criteria along the four major pillars of strategic decision-making.

The contributions of this paper are threefold. First, the bibliometric analysis reveals interesting aspects of the existing body of research. The most prominent characteristics of the contemporary literature are reflected along descriptive indicators, such as industry, method, model, origin, research outlet or adoption drivers, thus granting relevant insights into academia and practice. Second, the most notable adoption models are carefully analyzed on their inherent attributes and their application fit for the context of organizational 3DP adoption. Findings, for instance, revealed the dominance of diffusion of innovation (DOI) across the existing body of research and divulge that this construct is generally applied in combination with user-centered decision frameworks to yield more precise results. Third, an ample range of opportunities for future research are detected and thoroughly explained. Among others, the authors identified a clear lack of information on the impact environmental variables and contingency factors exerted on the organizational adoption of 3DP. Guidance in relation to the sourcing of industry data, usage of adoption frameworks and avenues for future scientific projects is supplied.

This study represents the first semi-systematic literature review on the organizational adoption of 3DP. Thus, it not only offers a valuable evaluation guide for potential adopters but also determines a future research agenda.

The promotion of autonomous vehicles introduces privacy and security risks, underscoring the pressing need for responsible innovation implementation. To more effectively address the societal risks posed by autonomous vehicles, considering collaborative engagement of key stakeholders is essential. This study aims to provide insights into the governance of potential privacy and security issues in the innovation of autonomous driving technology by analyzing the micro-level decision-making processes of various stakeholders.

For this study, the authors use a nuanced approach, integrating key stakeholder theory, perceived value theory and prospect theory. The study constructs a model based on evolutionary game for the privacy and security governance mechanism of autonomous vehicles, involving enterprises, governments and consumers.

The governance of privacy and security in autonomous driving technology is influenced by key stakeholders’ decision-making behaviors and pivotal factors such as perceived value factors. The study finds that the governmental is influenced to a lesser extent by the decisions of other stakeholders, and factors such as risk preference coefficient, which contribute to perceived value, have a more significant influence than appearance factors like participation costs.

This study lacks an investigation into the risk sensitivity of various stakeholders in different scenarios.

The study delineates the roles and behaviors of key stakeholders and contributes valuable insights toward addressing pertinent risk concerns within the governance of autonomous vehicles. Through the study, the practical application of Responsible Innovation theory has been enriched, addressing the shortcomings in the analysis of micro-level processes within the framework of evolutionary game.

This paper reviews the academic contributions that have emerged to date on the broad definition of farm-level management information systems (MISs). The purpose is twofold: (1) to identify the theories used in the literature to study the adoption of digital technologies and (2) to identify the drivers of and barriers to the adoption of such technologies.

The literature review was based on a comprehensive review of contributions published in the 1998–2019 period. The search was both automated and manual, browsing through references of works previously found via high-quality digital libraries.

Diffusion of innovations (DOIs) is the most frequently used theoretical framework in the literature reviewed, though it is often combined with other innovation adoption theories. In addition, farms’ and farmers’ traits, together with technological features, play a key role in explaining the adoption of these technologies.

So far, research has positioned the determinants of digital technology adoption mainly within the boundaries of the farm.

On the practical level, the extensive determinants’ review has potential to serve the aim of policymakers and technology industries, to clearly and thoroughly understand adoption dynamics and elaborate specific strategies to deal with them.

This study’s contribution to the existing body of knowledge on the farm-level adoption of digital technologies is twofold: (1) it combines smart farming and existing technologies within the same category of farm-level MIS and (2) it extends the analysis to studies which not only focus directly on adoption but also on software architecture design and development.