Innovation Adoption Process Research Articles

The impact of green innovations on firm’s sustainable operations: Process innovation and recycling innovation

As the urgency and importance of global carbon emission reduction have escalated in recent years, numerous firms are considering ideas to develop innovative green technologies in order to contribute to the low-carbon economy. This paper examines two types of green innovations adopted by firms, namely process innovation (improving production processes to enhance energy efficiency) and recycling innovation (establishing a circular economy to recycle and re-manufacture waste products). By developing a game-theoretical model, our analytical results reveal the following findings. First, we find that both process and recycling innovations can attract more consumers and improve the firm’s profitability under specific conditions. Second, when the cost advantage of remanufacturing is sufficiently low, the adoption of process innovation is always more profitable than recycling innovation. Otherwise, the profitability largely depends on the trade-off between consumers’ perception of the two green innovations. Third, compared to a single innovation, the adoption of both process and recycling innovations (dual green innovation) leads to a further increase in consumer demand and firm’s profit when the cost advantage of remanufacturing exceeds a certain threshold. Furthermore, the optimal pricing set by the firm and consumer demand become more sensitive to consumers’ perception of greenness when dual green innovation is adopted. Finally, the equilibrium result suggests the existence of a “synergistic promoting effect” when the firm implements dual green innovation, which indicates that the advantages of each innovation are amplified when the firm adopts dual green innovation. These results can serve as guidelines for firms aiming to utilize green innovations in order to reduce carbon emissions.

Blockchain Adoption in Networks: The Decision Flow through three Arenas

Aim/Purpose: To show how the adoption decision about blockchain technology follows a path through three ‘arenas’, each showing distinctive organisational and behavioural driving forces. Methodology: Grounded theory using Meta-analysis, mind mapping, participative observation and 22 Atlas.ti analysed interviews. Findings: Three ‘arenas’ were observed: (#1) visualises the driving forces, motivations and reasons that play a role in the mind of the decision making individual and is the result of the conditioning process occurred during the trajectory through networks during the life and career of that individual; (#2) reflects and incorporates the transition from the individual level decision making to the company level, meeting other decision makers. The worldview, power and hierarchy dynamics among the company's decision-making leadership directly shape the overall company strategy. This strategizing, in turn, leads to particular outcomes and effects on the company's network and connections; (#3) describes the constituting elements and origins of power that play a role for four different types of networks: long term relations, consortia, exploitative networks and spot buying networks. Originality: This study offers an original view on innovation adoption processes in supply chains, networks and systems, applied to the case of blockchain technology. Conclusions: Blockchain usage seems mainly relevant for networks based on long-term relations, not so much for consortia, exploitative networks and spot buying networks. Which network a company choses to participate in depends on the worldview of the company as a result of the distribution of hierarchies of the participating decision makers. In addition, an increased company size implies an increased feeling blockchain usage would or could compensate lack of trust because of less personal contacts.

The dynamic links between product and process innovations and productivity for Colombian manufacturing

Purpose This paper aims to examine the interrelation between two innovating strategies (product and process) on total factor productivity (TFP) growth and the dynamic linkages between these strategies, for Colombia. The authors first explore whether ex ante more productive firms are those that introduce innovations (the self-selection hypothesis) and if the introduction of innovations boosts TFP growth (the returns-to-innovation hypothesis). Second, the authors study the firm’s joint dynamic decision to implement process and/or product innovations. The authors use Colombian manufacturing data from the Annual Manufacturing and the Technological Development and Innovation Surveys. Design/methodology/approach This study uses a four-stage procedure. First, the authors estimate TFP using a modified version of Olley and Pakes (1996) and Levinsohn and Petrin (2003), proposed by De Loecker (2010), that implements an endogenous Markov process where past firm innovations are endogenized. This TFP would be estimated by GMM, Wooldridge (2009). Second, the authors use multivariate discrete choice models to test the self-selection hypothesis. Third, the authors explore, using multi-value treatment evaluation techniques, the life span of the impact of innovations on productivity growth (returns to innovation hypothesis). Fourth, the authors analyse the joint likelihood of implementing process and product innovations using dynamic panel data bivariate probit models. Findings The investigation reveals that the self-selection effect is notably more pronounced in the adoption of process innovations only, as opposed to the adoption of product innovations only or the simultaneous adoption of both process and product innovations. Moreover, our results uncover distinct temporal patterns concerning innovation returns. Specifically, process innovations yield immediate benefits, whereas implementing both product innovations only and jointly process and product innovations exhibit significant, albeit delayed, advantages. Finally, the analysis confirms the existence of dynamic interconnections between the adoption of process and product innovations. Originality/value The contribution of this work to the literature is manifold. First, the authors thoroughly investigate the relationship between the implementation of process and product innovations and productivity for Colombian manufacturing explicitly recognising that firms’ decisions of adopting product and process innovations are very likely interrelated. Therefore, the authors start exploring the self-selection and the returns to innovation hypotheses accounting for the fact that firms might implement process innovations only, product innovations only and both process and product innovations. In the analysis of the returns of innovation, the fact that firms may choose among a menu of three innovation strategies implies the use of evaluation methods for multi-value treatments. Second, the authors study the dynamic inter-linkages between the decisions to implement process and/or product innovations, that remains under studied, at least for emerging economies. Third, the estimation of TFP is performed using an endogenous Markov process, where past firms’ innovations are endogenized.

THE RISE OF VIRTUAL FOOD TOURISM EXPERIENCES: INTEGRATING DIFFUSION OF INNOVATION THEORY AND SELF-DETERMINATION THEORY

Purpose – The COVID-19 pandemic has had a significant impact on the food tourism industry, leading to business closures and a drop in demand. In response to this challenge, virtual food tourism experiences such as VR have emerged as an alternative to traditional in-person experiences. Aim of this paper is to model consumer adoption of virtual food tourism by integrating the Diffusion of Innovation Theory and the Self-determination Theory. Methodology/Design/Approach – The Diffusion of Innovation Theory explains the process of innovation adoption, while the Self-determination Theory focuses on consumer motivation. This article proposes that intrinsic (autonomy, relatedness, and competence) and extrinsic (relative advantage, complexity, compatibility, trialability, and observability) motivating factors influence virtual food tourism adoption. Findings – The study suggests that extrinsic motivators can act as mediators between intrinsic motivation and adoption intention. Integrating these two theories provides a comprehensive understanding of the motivations and mechanisms driving virtual food tourism adoption. It also paves the way for the exploration of intrinsic and extrinsic motivations and specific mechanisms underlying adoption behaviours. Originality of the research – Destinations, businesses, and policy makers can better navigate the changing landscape of food tourism and leverage the potential of virtual food tourism to create engaging, accessible, and culturally enriching experiences

The Influence of Complexity on the Adoption of Tissue Culture Banana Seedlings in Tanzania

Tissue culture seedlings have been used to improve production in agriculture. However, tissue culture suffers from low adoption. In this context, adoption studies in Tanzania of these types of seedlings are scarce and in general, do not jointly account for the judgment factors affecting the adoption decision among banana farmers. This study investigates the Influence of Complexity on Adoption. Farm-level data were collected through a questionnaire administered to 350 banana farmers in Kilimanjaro. Binary logistic was used to analyse the data and the results show the easier-to-grow significantly increased adoption. The findings of this study propose that; future information on seedlings technology must demonstrate an advantage over traditional seedlings and the investigation evidence supporting seedlings innovation must be clearly visible. We, therefore, concluded that the innovation adoption process has a social and complex element; it requires adequate extension of Information systems and negotiations with key stakeholders in the whole value chain.

Developing a structural model of stakeholders’ behavior toward BIM adoption in construction enterprises

Building Information Modeling (BIM) has been recognized as a potential technology for revolutionizing the design, construction and operational management of projects. Its success depends on the functions and quality of BIM, as well as the needs, behaviors, and attitudes of users. The process of innovation adoption is presented as a series of phases, from initiation to the decision to adopt and the implementation of the innovation. This study develops a comprehensive model based on the innovation adoption process to describe the relationships between the enabling factors and technology use behaviors that address fundamental problems in adopting BIM in construction companies. The proposed model is then evaluated using Partial Least Squares Structural Equation Modeling (PLS-SEM). The results reveal that there are the interrelationships between the enabling factors. It is also found that economic viability positively affects behavioral intention to use BIM, while economic viability, company business vision, and intention to use BIM positively influence BIM usage behavior. The study findings can be used for organizations in building strategies to improve user readiness and satisfaction, ultimately increasing BIM usage in the future. This research provides a scientific foundation for construction companies to enhance workplace efficiency and promote project commercialization.

Innovation Adoption Process Using the Online Anywhere Service Application at the Population and Civil Registration Office of Tanah Datar Regency

Innovation renewal is present as an effort to use technology to optimize service to the community. One form is in the form of online services for various community affairs by government institutions. This research was conducted to find out how the process of adopting online service innovations via the Online Anywhere Service (OASE) application at the Population and Civil Registration Office of Tanah Datar Regency was carried out by the Population and Civil Registration Office (Disdukcapil) of Tanah Datar Regency using Rogers' Theory. This study uses a descriptive qualitative approach. Data were collected using field research techniques, including observation and in-depth interviews with purposive sampling techniques to determine informants. The results of this study are that online services via the OASE application for the Population and Civil Registration Office of Tanah Datar Regency were successfully adopted from the knowledge stage to the confirmation stage, because the informants considered them to be according to needs and more flexible. Pamphlets and banners are communication channels that act as initial information dissemination tools. It is also known that interpersonal communication between the community and government representatives acts as a process of exchanging information for adopters to obtain additional information. Informants' ability to use technology influences their perceptions in seeing the degree of relative advantage, suitability, and complexity of the innovation.

Blends of emotions and innovation (Non)adoption: A focus on green energy innovations

Following calls for more research into the subjective experience of actors in sustainability transitions, this study examines the blends of emotions that consumers experience in the different stages of the innovation adoption process and how emotions inside a blend are interrelated to help or hinder innovation adoption. Focusing on energy-related innovations, an exploratory, interpretive study of 23 individuals in different stages of the adoption process unveils blends of emotions that underpin their (dis)inclination to adopt green energy innovations. Finally, the study shows that emotions may combine to ignite innovation adoption, halt it, paralyze consumers, or prompt a search for other/more energy solutions. The findings call for other methodological approaches to study the role of emotions in the green innovation adoption and suggest applications for transition scholars and practitioners.

Antecedents of green process innovation adoption: An AHP analysis of China's gas sector

Due to recent natural calamities, there has been a seismic shift in public awareness in regard to the urgency of sustainability. This increased awareness, especially among consumers, is compelling businesses to adopt greener practices as a means to address the devastating consequences of climate change. Against this context, the present study explores the factors that play instrumental roles in adopting green process innovation in the natural resource exploitation sector. This study focuses on China's gas sector. The study applies a three-fold approach wherein the first phase focuses on identifying factors that can contribute to green process innovation. The identified factors are shortlisted in the second phase using a mean value approach. In the third phase Analytical Hierarchal Process (AHP), a Multi-Criteria Decision Making (MCDM) approach, is employed to prioritize the selected factors. In the first phase, 36 factors were identified using the PRISMA approach. In the second phase, 27 factors appeared as the most influential for the green innovation process and proceeded for prioritization; factors AHP findings reflect the green culture and green innovation policy are essential for green process innovation. Human capital development, sustainability policy and regulations, internal policy robustness, stakeholder engagement, and process capital are vital contributors to the green innovation process. Our findings can be helpful while developing the strategies for a transition toward a green and sustainable economy.

Peran Penyuluhan Pertanian Dalam Proses Adopsi Inovasi di Desa Sadang, Kecamatan Taman, Kabupaten Sidoarjo

Disseminating innovation to farmers is the role and function of agricultural extension workers so that farmers are ready to adopt and apply agricultural technology in their farming activities to increase farmers' income and welfare. Based on these problems, researchers want to analyze the role of agricultural extension workers in the process of adopting farmer innovations in agricultural development. This study aims to understand the implementation of counseling in the field. In addition, the results of this study are to find out what roles exist in agricultural extension workers. Data collection techniques were used by distributing questionnaires to respondents and data analysis techniques using the method of determining respondents by distributing questionnaires consisting of questions grouped based on the role of agricultural extension workers and data analysis techniques using descriptive qualitative. The results showed that there were several roles of agricultural extension agents in the innovation adoption process, namely as a facilitator, as an innovator, as an educator, as a communicator, and as a motivator. It was found that the recapitulation of the role of agricultural extension workers scored 83.74% in the very agree category from the respondents. With that, it can be interpreted that agricultural extension agents can play a very good role in carrying out their duties in the innovation adoption process.

Going digital with multisided-platforms: Assessing the innovation adoption process from the perspectives of travel agents

Travel agents’ adoption of digital technologies to digitally transform their businesses has seen a rapid surge in recent years in the tourism industry. Multisided Platforms (MSPs) have been one of those digital technologies that digitally transformed brick-and-mortar travel agents to have access to online tools and modules for searching, comparing, and booking travel content. This study examines the factors that are taken into consideration by travel agents in the three phases of the adoption process, namely, pre-adoption, during-adoption, and post-adoption phases. A qualitative study was taken up for this purpose and seventeen semi-structured interviews were conducted with international travel agents. The findings of this study were twofold. First, the findings of the study adhered to the existing factors of the diffusion of innovation (DOI) model such as relative advantage, compatibility, complexity, trialability, and observability, as crucial factors for adopting MSPs. Second, the findings of the study extended the DOI model by proposing two other factors, supportability, and integrability, which were deemed crucial by travel agents when adopting MSPs. The study shows that as part and parcel of the DOI model, travel agents by adopting MSPs get access to global content from multiple-channels and multiple-providers easily and securely. The study discusses practical and theoretical implications.

Big data analytics and innovation in e-commerce: current insights and future directions

Big data analytics (BDA), as a new innovation tool, played an important role in helping businesses to survive and thrive during great crises and mega disruptions like COVID-19 by transitioning to and scaling e-commerce. Accordingly, the main purpose of the current research was to have a meaningful comprehensive overview of BDA and innovation in e-commerce research published in journals indexed by the Scopus database. In order to describe, explore, and analyze the evolution of publication (co-citation, co-authorship, bibliographical coupling, etc.), the bibliometric method has been utilized to analyze 541 documents from the international Scopus database by using different programs such as VOSviewer and Rstudio. The results of this paper show that many researchers in the e-commerce area focused on and applied data analytical solutions to fight the COVID-19 disease and establish preventive actions against it in various innovative manners. In addition, BDA and innovation in e-commerce is an interdisciplinary research field that could be explored from different perspectives and approaches, such as technology, business, commerce, finance, sociology, and economics. Moreover, the research findings are considered an invitation to those data analysts and innovators to contribute more to the body of the literature through high-impact industry-oriented research which can improve the adoption process of big data analytics and innovation in organizations. Finally, this study proposes future research agenda and guidelines suggested to be explored further.

Big data ethics and its role in the innovation and technology adoption process

PurposeUpon graduating from university, many engineers will work in new product development and/or technology adoption for continuous improvement and production optimization. These jobs require employees to be cognizant of ethical practices and implications for design. However, little engineering coursework, outside the traditional ABET (Accreditation Board for Engineering and Technology) required Engineering Ethics course, accounts for the role of ethics within this process. Because of this, engineering students have few learning opportunities to practice and reflect on ethical decision-making.Design/methodology/approachThis paper highlights one approach to integrating ethics into an engineering course (outside of engineering ethics). Specifically, the study is implemented within a five-week module with a focus on big data ethics, as part of a Supply Chain Management Technology course (required for Industrial Engineering Technology majors), using metacognition as the core assessment.FindingsFour main themes were identified through the qualitative data analysis of the metacognitive reflections: (1) overreliance on content knowledge, (2) time management skills, (3) career connections and (4) knowledge extensions.Originality/valueThree notable points emerged which contribute to the literature. First, this study showcased one example of how an ethics module can be integrated into an engineering course (other than Engineering Ethics). Second, this study demonstrated how metacognitive reflections can be used to reinforce student self-awareness of the learning process and connections to big data ethics in the workplace. Finally, this study exhibited how metacognitive reflection assignments can be deployed as a teaching and learning assessment tool, providing an opportunity for the instructor to make immediate changes as needed.

Adopsi Inovasi Teknologi Sambung Samping Dalam Peremajaan Kakao Oleh Petani Subakabian Padma Sari, Kecamatan Melaya, Kabupaten Jembrana

Adoption of Side Cleft Grafting Technology Innovations in Cocoa Rejuvenation by Farmers Subakabian Padma Sari, Kec. Melaya, Kab. Jembrana
 Subakabian Padma Sari is one of the farmer groups that has implemented unproductive cocoa rejuvenation using side grafting technology innovations side cleft grafting in cocoa rejuvenation. The research was conducted from January to March 2021 in Subakabian Padma Sari, Nusasari Village, Melaya District, Jembrana Regency. Sampling using simple random sampling technique with the calculation of the formula Slovin, the research sample is 50 farmers. Methods of data collection through in-depth interviews and structured interviews (questionnaires), then analyzed using a qualitative descriptive method. The results showed that the characteristics of farmers in Subakabian Padma Sari have an average age belonging to productive age, education level at high school level, experience in cocoa farming, small number of family dependents, narrow land area, small population of cocoa trees, and most of them cultivate. follow-up clone varieties. The stages of the adoption process of side-grafting technology innovations have a graph of decreasing stages from the conscious stage to the adoption stage. The pace of innovation adoption is slow, which is influenced by six factors, namely: the nature of innovation is moderate, the type of decision making is good, the nature of the target is slow, the communication channel is good, the social system is good, and the role of reforming agents is moderate. Cocoa farmers in Subakabian Padma Sari should spend more time on cocoa cultivation, because side-grafting technology innovations can increase production yields, thereby increasing farmers' income. Extension workers should be more aggressive in introducing side-grafting technology innovations, by providing intensive assistance to farmers, paying attention to the innovation decision process starting from the conscious stage to adopting the innovation given. The innovator should disseminate side-grafting technological innovations by showing evidence of success that other farmers can observe directly.

A Futuristic View of Using XBRL Technology in Non-Financial Sustainability Reporting: The Case of the FDIC

The rapid use and development of information and communication technology capabilities in the public sector has revolutionized the mechanism that government agencies use to collect, process, and disseminate data. Electronic government is one of the strategic initiatives that many government agencies have considered adopting to offer efficient web-based services and operations. Although there have been efforts to examine the implementation process of technological innovations in financial and business reporting, many government agencies are about to face a bigger challenge in developing or adopting current technologies to assess their usefulness for non-financial sustainability reporting. The Extensible Business Reporting Language, XBRL, has been adopted by the U.S. Federal Deposit Insurance Corporation (FDIC) to process financial data in the quarterly call reports filed by banks. Using Rogers’ well-established theory of innovation adoption process, this paper discusses the FDIC’s XBRL implementation process and investigates the roles and experiences of the agency’s stakeholders. A case study research methodology, supported by semi-structured interviews, is used to explore each phase of the implementation process. The findings reveal that the process was facilitated by stakeholder engagement, technical support, and the agency’s strategic decision-making process. This paper contributes to the literature by examining the applications, benefits, and challenges of using XBRL technology to process non-financial sustainability data, which is still an under-researched area. Therefore, the implications for using the technology in non-financial reporting will be insightful for future regulatory adopters and their stakeholders including filer banks, software vendors, and various users of financial and non-financial information.

Facilitating public procurement of innovation in the UK defence and health sectors: Innovation intermediaries as institutional entrepreneurs

This paper investigates how innovation intermediaries promote institutional change to facilitate public procurement of innovation (PPI). Several of the PPI implementation challenges reported in prior research originate in the institutional architecture underpinning demand articulation, and innovation procurement and adoption processes. We conceptualise innovation intermediaries as institutional entrepreneurs who seek to create new institutions or adjust existing ones to support PPI implementation. We report the results of two case studies of intermediaries facilitating PPI in the UK defence and health sectors, respectively. We contribute to PPI intermediation literature by showing that intermediaries address prevalent institutional failures through four types of institutional entrepreneurship activities: boundary spanning; advocacy; design of change; and capacity building. We elucidate, in particular, the role of individuals within intermediaries, as agents who learn about failures and adapt their institutional work over time. In doing so, these managers go beyond the remit and goals of the organisations they represent. The findings add to our understanding of how intermediaries support demand articulation for PPI by showing that their institutional work is also aimed at designing generic methods and processes to improve what is asked for, and how. We furthermore reveal conditions influencing the effectiveness of intermediaries' efforts to realise institutional change, thereby extending research on institutional entrepreneurship in PPI settings.

Factors influencing open government data post-adoption in the public sector: The perspective of data providers.

Providing access to non-confidential government data to the public is one of the initiatives adopted by many governments today to embrace government transparency practices. The initiative of publishing non-confidential government data for the public to use and re-use without restrictions is known as Open Government Data (OGD). Nevertheless, after several years after its inception, the direction of OGD implementation remains uncertain. The extant literature on OGD adoption concentrates primarily on identifying factors influencing adoption decisions. Yet, studies on the underlying factors influencing OGD after the adoption phase are scarce. Based on these issues, this study investigated the post-adoption of OGD in the public sector, particularly the data provider agencies. The OGD post-adoption framework is crafted by anchoring the Technology-Organization-Environment (TOE) framework and the innovation adoption process theory. The data was collected from 266 government agencies in the Malaysian public sector. This study employed the partial least square-structural equation modeling as the statistical technique for factor analysis. The results indicate that two factors from the organizational context (top management support, organizational culture) and two from the technological context (complexity, relative advantage) have a significant contribution to the post-adoption of OGD in the public sector. The contribution of this study is threefold: theoretical, conceptual, and practical. This study contributed theoretically by introducing the post-adoption framework of OGD that comprises the acceptance, routinization, and infusion stages. As the majority of OGD adoption studies conclude their analysis at the adoption (decisions) phase, this study gives novel insight to extend the analysis into unexplored territory, specifically the post-adoption phase. Conceptually, this study presents two new factors in the environmental context to be explored in the OGD adoption study, namely, the data demand and incentives. The fact that data providers are not influenced by data requests from the agency's external environment and incentive offerings is something that needs further investigation. In practicality, the findings of this study are anticipated to assist policymakers in strategizing for long-term OGD implementation from the data provider's perspective. This effort is crucial to ensure that the OGD initiatives will be incorporated into the public sector's service thrust and become one of the digital government services provided to the citizen.

Towards a theoretical understanding BIM Success in an owner organization: Diffusion of Innovations Theory vs. Actor-Network Theory

Research on BIM adoption has been linked to different theories of innovation underpinned by diverging assumptions. Diffusion of Innovations theory (DIT), for example, assumes the innovation adoption process is linear, while Actor-Network Theory (ANT) assumes innovation is dynamic and non-linear. However, limited work has been done to compare the often hidden assumptions of different innovation theories, and to explore how well they suit the BIM process. This study has two objectives: (1) to conduct a comparative analysis of the contrasting conceptual foundations of DIT and ANT and (2) to build and test two early-stage analytical toolkits using the conceptual apparatus of each theory, allowing users to examine the experiences of adopter organisations using two lenses. The toolkits this study offers were developed by moving iteratively between key theoretical concepts and qualitative interview data from a single US-based owner organisation, a case study of an early adopter of BIM. The study has two contributions. The first, a theoretical finding, is that DIT is better suited for analysing innovations that are material, stabilised and thus “closed” in early stages, while ANT is better suited for innovations that are dynamic and iteratively (re)created. The second is a set of preliminary insights for practice.

Crossing the valley of death: Network structure, government subsidies and innovation diffusion of industrial clusters

To successfully cross the “valley of death” between source innovation and industrialization requires two-way efforts of technological innovation and innovative achievement transformation, which is a socialization process of innovation adoption and diffusion. Industrial clusters are the effective organizational carriers for the diffusion of innovation achievements, therefore, the research aims to explore the transformation mechanism of scientific and technological achievements in industrial clusters, especially considering the influence of network structure and government subsidies in helping industrial clusters to cross the valley of death and improve the efficiency of scientific and technological achievements transformation, so as to put forward targeted transformation countermeasures. Accordingly, a “two-stage and double-driving” innovation diffusion dynamics model was built and applied to the empirical research on China's blockchain industrial cluster by network analysis and system dynamics. It is found that government subsidies play a crucial role in the innovation adoption stage, especially for high innovative industrial clusters. In addition, there is an adoption threshold for the utility of government subsidies, and a reasonable exit mechanism should be established when adoption rates reach a certain proportion. However, for the low innovative industrial clusters, government subsidies continue to be effective. On the contrary, internal factors play a vital role in the stage of innovation diffusion, especially for industrial clusters that have developed close cooperation between upstream and downstream. This study provides the following policy implications for industrial clusters to overcome the valley of death, including carrying out classified guidance and precise implementation, appropriate subsidies and reasonable withdrawal, and improving the cultivation mechanism of “opinion leaders” enterprises.

Digital currency and payment innovation in the hospitality and tourism industry

This paper examined the acceptance of central bank digital currency (CBDC) as a payment method in the hospitality and tourism sectors. The characteristics of CBDC payment were discussed and the five-stage consumer adoption model served as a framework for advancing our knowledge about individuals’ adoption process of payment innovation. In addition, this study involved consumer innovativeness as a moderating factor in the formation of consumer adoption behavior. Based on 423 responses collected from self-administrated online survey, we conducted the structural equation modeling analysis and metric invariance test. The proposed model, which incorporates innovation characteristics and the consumer adoption process, properly predicted consumer acceptance toward CBDC payment in buying hospitality and tourism products. Furthermore, the identified moderating role of consumer innovativeness in the relationships, such as one between interest and evaluation, and the other between evaluation and trial intention promoted a better understanding of the consumer adoption behavior toward payment innovation.