Innovation Adoption Model Research Articles

The Impact of National Culture on Technological Service Innovation

The increasing use of blockchain technology in various industries has generated a significant amount of interest among researchers and practitioners. This study aims to determine a predictive classification model of technological service innovation adoption for blockchain implementation across cultures. Questions of the research are: 1) does national culture impact the prediction of blockchain adoption across countries? and 2) if so, what cultural dimensions have the highest impact on service innovation adoption rates, across and between countries? and finally, 3) are penetration rates of blockchain adoption significantly different across countries? Industry, country, and managerial level variables along with adoption rates are examined. Model formulation and analysis is supported using a neural network to predictively classify firm and country innovation adoption. This study helps organizations understand the factors that impact the adoption of blockchain technology and will also inform policymakers about the potential benefits and cultural challenges of blockchain implementation.

Voices of Thai Patients With Non-Communicable Diseases Towards Healthy and Ready Meal Products: A Mixed-Methods Research.

Healthy diets reduce the risk of several non-communicable diseases (NCDs) from diabetes to heart disease and hypertension to cancer. Given their busy lifestyles, it is difficult for individuals to routinely prepare healthy food. Therefore, healthy and ready meal products have been developed and commercially launched in Thailand. Considering ready and healthy meals as an innovative product line in the Thai market, the aim of this study was to identify the factors that influence NCD patients to adopt this product innovation. This study used a mixed-methods approach based on Roger's model of innovation adoption. Two hundred and twenty NCD patients completed a questionnaire regarding their expectations towards healthy meal products. In-depth interviews were conducted with 20 respondents to explore the underlying reasons behind their scoring decisions in the questionnaires. The findings revealed that the highest rated items were the expectation that healthy meals reduce the severity of disease, help avoid high-cholesterol food, and comprise a variety of meal choices. Instead of celebrity marketing and corporate branding, the patients preferred healthy meals that are recommended by health professionals and produced by university research teams. The qualitative findings also demonstrated that most patients welcomed healthy menus as a preventive treatment, but still have concerns regarding the availability and quality of the products. This study reveals the expectations of prospective consumers, specifically NCD patients, towards healthy and ready meal products. It adds key information for food producers, health professionals, and policymakers to foster healthy food innovation, especially in the context of emerging economies like Thailand where healthy food choices are limited.

A random walk for agricultural total factor productivity

AbstractGrowth in agricultural total factor productivity (TFP), which explains most of the long‐term growth in U.S. agricultural output, may be slowing. The Economic Research Service (ERS) of the USDA is confident that current levels of below‐average growth will eventually regain the long‐term trend line. Others disagree, arguing instead that due to declining public expenditures on agricultural research, TFP growth experienced a downward and seemingly permanent structural shift about 30 years ago. In this paper, I argue that neither perspective is accurate since agricultural TFP is best modeled as a random walk with drift and thus not governed by a deterministic trend line. When I use a first difference model to accommodate the unit root, I do not find a structural break in the rate of drift. However, I acknowledge that this finding may not be general because I show that my test for a structural break has low power. To add theoretical relevance, I develop a simple model of stochastic innovation and farm technology adoption, and then use simulation results from my model to explain why a random walk for agricultural TFP is a theoretically sound proposition.

Disruptive Innovation as a Network Dilemma: A Conceptual Model

Adoption of innovative products, formats and technologies has long been studied in the management and marketing literature. Organizations that adopt new products and processes in order to stay competitive need to determine which technologies will be the winners rather than passing fads. Extant literature has characterized the innovator’s dilemma for adopting new products from several points of view, from decision makers’ response to niche customers perspective (Christensen, 1997) to a focus on organizational capabilities (Henderson, 2006), while also characterizing the incumbent’s strategic response to disruptive innovation (Christensen et al., 2015). Our paper develops a new conceptual model of innovation adoption in markets with network effects. In particular, we focus on the problem that many current companies face: which (if any) new network will be the winner and how to respond? Our model captures surprising aspects of the disruptive innovation dilemma in networks.

Organisational characteristics as antecedents of enterprise security risk management adoption in Kenya’s accredited universities

ABSTRACT Academic institutions today are experiencing a legion of security risks that are increasingly impeding their mission of producing high-quality graduates, guarding reason and educational integrity, and ultimately advancing human civilisation. The Enterprise Security Risk Management (ESRM) model represents a potential solution to the dynamic threats that accredited universities face today. However, ESRM adoption is largely absent, slow, and inconsistent in Kenya’s accredited universities. Only a few attempts have been made to understand what drives security risk management adoption in these universities. Based on seven in-depth interviews with Chief Security Officers across larger accredited universities in Kenya and utilising an overarching innovation adoption model, we examine the organisational predictors of ESRM adoption in these universities. Within the limitations of this study, the data collected highlight the fundamental role of university executive commitment, security governance, and security risk management training in enhancing the diffusion of ESRM systems in universities. We have discussed managerial implications and suggested future research directions.

Effects of trigger events on innovation behaviour: insights from the data collected from construction professionals during COVID-19

During the COVID-19 pandemic, several instances of innovation were reported in construction and other sectors, consistent with previously noted spikes in innovation activities during crises and environmental perturbations. Yet the behavioural mechanisms and factors leading to changes in the innovation behaviour of actors under environmental perturbation are not adequately understood. This paper studies such behavioural mechanisms and factors, building on the Excitable Innovation Behaviour Model (EIBM), which explains the voluntary or coercive change in the innovation behaviour of actors in terms of their stable state needs and excited stated needs. The findings build on data collected through an online survey (N = 266) and interviews (N = 14) during the COVID situation. The results show that environmental perturbations can trigger both an increase and decrease in innovation activities. Actors’ network dependencies, motivation, and years of experience influence their innovation behaviour. Environmental perturbation triggers accelerated alignment and shared prioritization of the needs of the different stakeholders, resulting in commitment and timely actions towards innovation from each stakeholder. Actors’ ability and financial stability at the time of the excitation trigger mediate their innovation behaviour, revealing similarities and differences between EIBM and Fogg’s Behavioural Model of persuasion. The grounding of EIBM in behavioural theories makes it potentially generalizable and compatible with other behavioural models and theories on innovation. The underlying state-change mechanisms in EIBM also make it amenable to developing a parametric and computational model of innovation adoption and diffusion. The research insights will inform innovation management strategies, including technology adoption roadmaps in the construction sector.

What makes products trendy: Introducing an innovation adoption model

Here we propose and study a new model of innovation adoption, IA. Our hypothesis is that individuals’ decisions regarding the purchase of a new product, are driven by the perceived type of adoption trend. Our assumptions split adopters into four groups, Innovators, Early Adopters, Majority, and Laggards, based on their innovativeness, and assign particular preferences for various adoption trends based on their psychological profile. We have built several mathematical models to test our hypothesis and generated forecasts for retail sales of products sold in a supermarket chain in Poland. The performance in sales forecasting of our IA model, points to evidence of customers’ behavior as described by our hypotheses, and the usefulness in quantifying psychological behavior in a general social context of innovation.

Financial impact of telehealth: rural chief financial officer perspectives.

To explore the perceived impacts of a variety of telehealth services on hospital finances and assess how hospital administrators make decisions about adopting telehealth programs. From October 2021 to January 2022, we conducted semistructured interviews with chief financial officers (CFOs) of rural hospitals. Recruitment occurred in collaboration with 6 rural health collaboratives and hospital associations that facilitated CFO peer-learning groups. We used inductive and deductive approaches informed by a health care innovation adoption model to identify themes in the qualitative data. Twenty rural hospital CFOs and other hospital administrators from 10 states participated in interviews. Seventeen (85%) represented critical access hospitals and 3 (15%) represented short-term acute care hospitals. Although CFOs believed telehealth has some financial advantages (eg, can help to avoid patient transfers), they did not believe that telehealth improved their hospitals' financial situations. CFOs, rather, seem motivated to implement telehealth services to improve quality of care and address patients' needs. CFOs reported that limited reimbursement, low volumes, preference for in-person care, and insufficient broadband were key challenges to telehealth's financial viability. Understanding how CFOs think about the return on investment of telehealth can inform efforts to promote telehealth utilization in rural communities and to develop policy solutions to make telehealth more sustainable. CFOs may benefit from guidance on promising practices and cost-effective implementation strategies. Policy makers could take steps to improve telehealth's financial attractiveness (eg, through payment parity, subsidies to improve technology infrastructure).

Towards developing a national framework for industry 4.0 in African emerging economies

Unlike past industrial eras, the Fourth Industrial Revolution (industry 4.0) is accelerated and continues to gain momentum. While developed economies are making remarkable progress and contributing geometrically to the global value chain, African emerging economies have continued to grapple with multiple uncertainties regarding industry 4.0 implementation at all levels. The main objective of this study is to develop a macro-level framework for developing industry 4.0 initiatives in emerging economies of Africa. Using a systematic literature review protocol, industrial transformation initiatives from 22 of 25 leading economies were analyzed based on 12 thematic indicators. The result shows that industry 4.0 in leading economies is built on named strategic initiatives with clearly defined objectives, policy thrusts, funding models, and multi-stakeholder involvement and implementation plans. This implies that the industry 4.0 agenda in emerging economies requires bespoke industrial transformation initiatives driven by robust policy, industry, and research integration. This paper makes theoretical and practical contributions by putting forward a macro-level innovation adoption model – the ‘coopetitive triple helix model’ and a national framework for developing industrial transformation initiatives for African emerging economies, respectively.

Sustainable Innovation and Creative Behavior: the Mediating Effect of Technology Application from Early Adopters

Innovation adoption and technology application models have revolutionized the hospitality and food sectors. Innovation is very important to the sustainable development of enterprises. However, current knowledge on whether and how sustainable innovation and innovation adoption can be understood from the perspective of technology application behavior has not been examined empirically. Based on decision-making levels derived from the attitude-implementation-confirmation (A-I-C) framework and following rule conditions on front- and back-of-house processes, the aim of this study is to provide practical recommendations for the establishment of a pattern of green innovation action that influences the implementation of innovation among early adopters in the restaurant industry. Using 499 questionnaire responses and diverse statistical methods, we verify that the effect of innovation adoption is significant and positive on sustainable innovation, and the effects of innovation adoption and sustainability are both significant and positive on technology application and behavior, respectively. Moreover, the effects of technology application are significant and positive on behavior and mediate the link between innovation adoption and behavior. Finally, technology application is modestly moderated by green resource motivation techniques (GrRMT) to influence behavior. The empirical results proved that innovation adoption, sustainable innovation, technology application and GrRMT improve the mechanism of creative behavior in the food/ hospitality sector.

The Adoption Model of Technological Innovations That Have an Impact on the Welfare of the Community in the Village of Koto Masjid, Riau Province

This research examines the adoption of technological innovations in the field of fisheries that have successfully contributed to the improvement and change of livelihoods for the community. This study aims to analyze in-depth and comprehensively to construct a model for the adoption of technological innovations that takes place and can contribute to the welfare of society. The method used in this study is a qualitative research paradigm with a case study approach being the choice of researchers in conducting research with the theme of innovation adoption. The results of this study found that the adoption model of technological innovation in the field of fisheries in the Minapolitan area of Koto Mesjid Village, Riau Province, Indonesia turned out to have contributed to the improvement and change of livelihoods for the community. The success of the community in adopting technological innovations in the field of fisheries has gradually improved the economic conditions of the community. The construction of the technological innovation adoption model is arranged to start from the existence of local values as a link in the adoption process, the existence of proof and promises of benefits (rewards) in the process, the existence of regional characteristics, community, and supporting personal variables, the existence of factors that can be a stimulus for the community to be able to accept technological innovations in the field of fisheries and have a clear decision-making flow.

Evaluating Organizational Level IT Innovation Adoption Factors among Global Firms

This study explores a range of organizational factors that drive success in organizational level information technology (IT) innovation adoption. A comprehensive model of organizational level IT innovation adoption is presented based on a context-mechanism-outcome perspective and by drawing on relevant theories. The proposed model is empirically tested using data from 1988 company executives across a wide range of organizations globally. A research model and the related hypotheses are tested using structural equation modelling. The study found that organizational level IT innovation readiness conceptualized through technology readiness and internal expertise is a key mediator for successful organizational level technology adoption. Other organizational factors such as top management support, organizational structure, and organization culture, were positively related to the overall level of IT innovation readiness and organizational level technology adoption. Considering that there are many organizational factors that influence the adoption of technology, future research should extend the research framework and include additional variables that could support IT innovation adoption outcomes. The study makes a significant contribution to the existing literature by providing empirical evidence related to the organizational factors necessary for a successful IT innovation adoption at an organizational level.

Psychological, social and technical factors influencing electronic medical records systems adoption by United States physicians: a systematic model

BackgroundWide adoption of electronic medical records (EMR) systems in the United States can lead to better-quality medical care at lower cost. Despite the laws and financial subsidies by the United States government for service providers and suppliers, interoperability still lags. An understanding of the drivers of EMR adoption for physicians and the role of policy-making can translate into increased adoption and enhanced information sharing between medical care providers.MethodsPhysicians across the United States were surveyed to gather primary data on their psychological, social and technical perceptions towards EMR systems. This quantitative study builds on the theory of planned behaviour, the technology acceptance model and the diffusion of innovation theory to propose, test and validate an innovation adoption model for the healthcare industry. A total of 382 responses were collected, and data were analysed via linear regression to uncover the effects of 12 variables on the intention to adopt EMR systems.ResultsRegression model testing uncovered that government policy-making or mandates and other social factors have little or negligible effect on physicians’ intention to adopt an innovation. Rather, physicians are directly driven by their attitudes and ability to control, and indirectly motivated by their knowledge of the innovation, the financial ability to acquire the system, the holistic benefits to their industry and the relative advancement of the system compared to others.ConclusionsIdentifying physicians’ needs regarding EMR systems and providing programmes that meet them can increase the potential for reaching the goal of nationwide interoperable medical records. Government, healthcare associations and EMR system vendors can benefit from our findings by working towards increasing physicians’ knowledge of the proposed innovation, socializing how medical care providers and the overall industry can benefit from EMR system adoption, and solving for the financial burden of system implementation and sustainment.

Organizational Capability, Market Perspective, and Green Innovation Adoption: Insight From Indonesian Food Processing Small and Medium-Sized Enterprises

The adoption of green innovation is urgent for small- and medium-sized enterprises (SMEs) in the food processing industry to reduce pollution, because the large number of food processing SMEs will contribute more to environmental waste. Nevertheless, SMEs face additional obstacles in adopting innovation compared with large enterprises. This study aims to develop a green innovation adoption model for food processing SMEs to overcome the abovementioned problem and assess the effect of the model on performance. The model consists of two components, namely, organizational capability perspective and market perspective. A total of 245 respondents, who were owners or managers in their respective SMEs, were selected. Data were analyzed using structural equation modeling. The results demonstrate that pro-green leaders, green human capital, and green market orientation significantly influence green innovation adoption, which are, in turn, influenced by absorptive capacity. Furthermore, green innovation adoption and green market orientation significantly influence marketing performance. This finding is important in helping owners of food processing SMEs in formulating strategies for adopting green innovation.

Emotions and consumers’ adoption of innovations: An integrative review and research agenda

The dominant models of innovation adoption have traditionally overlooked the role of emotions, despite the relevance of this construct in consumer decision-making. To address this historical gap, a notable stream of research on emotions in innovation adoption has emerged in recent years. To enrich our understanding of the psychology of innovation adoption, this paper integrates insights from research on emotions in psychology with a systematic review of the literature on consumer emotions in innovation adoption. Drawing on well-established theories of emotions and decision-making, we derive five fundamental dimensions that help define the role of emotions in the consumer adoption of innovations. A systematic review of existing evidence within the specific field of innovation adoption summarises the existing evidence through the lens of the five dimensions. The contributions of the paper are twofold. First, the paper offers a novel perspective that provides a deeper understanding of emotions as a psychological mechanism enabling or impeding innovation adoption. Second, we set an agenda for invigorating research in this important domain.

The innovation process in mining: Integrating insights from innovation and change management

Innovations in the mining sector have the potential to address decreasing access to resources, lessen environmental impact, increase production and improve mineral recovery. One of the obstacles to implementing innovations in mining is organisational resistance to change. Existing innovation models do not explicitly articulate the role of people and how to engage them in the process of implementing innovations and often do not recognise the specific context of the innovation activity. The nature of mining makes innovation adoption difficult because it involves changes to the mining operation, which impact the value chain. We use a qualitative exploratory approach based on 25 interviews with highly experienced mining practitioners to understand how the innovation adoption process unfolded in that context. Using an abductive approach, we draw from the empirical data and insights from the innovation and change management literature to develop an actionable process model for innovation adoption in the context of mining. The study makes important contributions. It articulates and validates a three-phased process model of innovation adoption, which explicitly incorporates a focus on the people who are active agents in the innovation process. The model is contextualised to mining in terms of language, practices, nature of the business and nature of innovation in that business.

An approach for increase of digital/IT innovation adoption for sustainable development of transportation system

In order to survive the COVID pandemic that starter in 2020 and is still ongoing companies see a challenge to rebuild their business so it will be flexible and sustainable. It is especially important for companies from traditional verticals like transport who are not used to be digital. Innovation adoption will allow companies to face future crises with more agility and smaller profit losses. Even though the nowadays there are a lot of innovations to choose the level of innovation adoption rate is still relatively low. Most of them can be categorized as digital/IT because the companies need to execute the digital transformation process quite fast. The well-known innovation adoption models use general characteristics of an innovation such as trialability, complex in use and in design etc. but do not provide the users with practical recommendations and give less attention to the digital/IT element. Digital maturity models on the other hand result in practical recommendations on how to improve the adoption of digital and information technologies. In this article we suggest a conceptual approach - add a digital/IT maturity element to a characteristic-based model of innovation adoption. As a methodological support to a model several questionnaires for assessment the model’s elements as well as the further research direction and design have been developed.

An innovation adoption model of licensing-in for US start-ups

Using the Kauffman panel dataset of US start-ups, we analyse the key determinants oflicensing-in adoption. Licensing-in entails an intellectual property contract between the licensor(e.g. upstream established firm) and licensee (e.g. downstream start-up) aiming to bring aninnovation to market rapidly. Assuming maximizing of the owner’s managerial utility in thestart-up years, we explain licensing-in adoption through firm characteristics like size, R&D andcapital structure, as well as other IP types, and controls for year and regional fixed effects, usingpanel probit estimation with adjustments for sample selection bias and endogeneity. We findkey determinants of licensing-in to be owners’ equity, product (rather than service) sales andR&D spend; and then comment on their policy implications for business incubation.

Industrial Buyer Innovation Adoption Model: A Focus on a Smartphone-Based Electrochemical Analytical Device for Toxic Heavy Metal Detection

Smartphone-Based Electrochemical Analytical Devices (SEAD) enable sophisticated toxic heavy metal quantification experiments to be conducted anywhere with high precision, selectivity, and sensitivity. However, a very limited number of such technologies are able to make the transition from the lab to the competitive B2B marketplace. The purpose of this paper is to examine the factors influencing SEAD adoption in the manufacturing industry using the Industrial Buyer Innovation Adoption (IBIA) model, which integrates B2B consumer behavior theories and technology acceptance models from the past 50 years. Analysis of data collected from 400 corporations in Thailand revealed that sellers, buyers, internal organization and invented technology advantage variables predicted industrial innovation adoption based on binary logistic regression. This research contributes to the understanding of SEAD transition from scientific knowledge to sustainable technology and diffusible innovation. The ambitious IBIA framework is potentially an alternative managerial tool for holistically assessing and creating adoptable innovative business models for new technologies.

Pandemic and Innovation in Healthcare: The End-To-End Innovation Adoption Model

The pandemic has been a challenge for many public health systems worldwide. Several health measures and innovations have been implemented to help in reducing COVID-19 spread and to avoid healthcare system overwhelming. During the pandemic emergency, the need for social protection and social distancing scenario has provided the push for healthcare stakeholders to innovate, and telemedicine has emerged as an efficient and effective way to provide care while reducing hospital overload and COVID-19 spread. The pandemic is having a direct impact on innovation and servitization by accelerating innovation processes, creating new interactions among ecosystem actors, promoting new ways to provide value and care, as well as time to market, and social acceptance for innovative solutions. Taking the widespread adoption of telemedicine as an example of innovation processes with the scope to identify which key innovation determinants are participating in the innovation adoption process and what type of contextual conditions are relevant for its development, we propose a seven-stage model with the aim to provide an end-to-end innovation adoption process to map and identify how society, technology, and environment act during the innovation adoption, including economic, social, and political impacts along with its regulation and time to market.