Innovation Adoption Decisions Research Articles

Proses Keputusan Adopsi Inovasi Padi Rojolele Srinuk oleh Petani (Studi Kasus di Desa Segaran, Kecamatan Delanggu, Kabupaten Klaten)

Segaran Village is one of the villages targeted for the development of Rojolele Srinuk rice in Klaten Regency. Farmers have an important role in efforts to develop Rojolele Srinuk rice. There is a process for reaching decisions made by farmers in adopting and the role of communication channels used at each stage of the innovation adoption decision process. The purpose of this study was to determine the development of Rojolele Srinuk rice cultivation in Segaran Village, identify the communication channels, and analyze the decision process for adopting Rojolele Srinuk rice innovation by farmers in Segaran Village. The research method in this research is a descriptive qualitative method. Data collection by in-depth interviews, observation, and document study. The results showed that the development of Rojolele Srinuk rice cultivation in Segaran Village is currently quite good. The communication channels used in the process of adopting the Rojolele Srinuk rice innovation by farmers in Segaran Village are interpersonal local and cosmopolit channels. There are farmers who continue adoption, discontinuance, later adoption, and continue rejection.

Information asymmetry in the innovation adoption decision of tourism and hospitality SMEs in emerging markets: A mixed-method analysis

Investment decisions, particularly innovation adoption decisions, can sustain long-term viability of small and medium enterprises (SMEs). However, information asymmetry could limit the ability of SME management to make informed innovation adoption decisions. Even though information asymmetry is a multidimensional construct, prior literature has only focused on financial information asymmetry in such decisions. Therefore, the current study fills the research gap by conducting two separate studies: one analyzes World Bank Group data from 1250 observations in 11 emerging markets, and the other interviews eight SME owners and managers. The findings of the mixed-method studies suggest that financial, business regulation, and court information asymmetry decrease the likelihood of SMEs' product innovation adoption. The study contributes to a more comprehensive understanding of information asymmetry in SMEs’ decision-making rooted in agency theory. Moreover, its methodological contribution lies in measuring information asymmetry with micro-level data.

Adopsi Inovasi Hasil Riset di IPB University

IPB university is one of the universities that has many innovations, IPB's achievements for 12 years (2008-2019) participating in the 100 plus Indonesian innovation program organized by the Business Innovation Center with support from the Ministry of Research Education, and Culture of the Republic of Indonesia and the Indonesian Institute of Sciences. Higher education is an innovation center that plays a role in the progress of society, providing impact and solutions from the results of research conducted. However, the reality is whether the research carried out provides an effective solution to the community or is just a collection of books that are neatly stored in the library and can only be accessed by certain circles. Quantitative research with correlational survey methods that explain the relationship between variables through hypothesis testing. The results showed that most of the respondents in this study worked as farmers, male gender, productive age, low education and low income. Characteristics that have a real influence on adoption decisions are education, employment and income. The types of innovation and attributes of innovation have a real relationship to the adoption decision and the interpersol communication channel has a real relationship to the innovation adoption decision.

Development of self-reporting assessment tool to assess personal innovativeness

In the context of innovation diffusion and marketing, personal innovativeness (PI) is considered crucial as it acts as a precondition for the individual's innovation adoption decision. In exploring recent research papers written by practitioners on the concept of PI, it was identified that most of these papers ended up measuring the level of PI either quantitatively or qualitatively. There, the author realizes that there is a lack of knowledge available to identify PI as a categorical variable (discrete) in qualitative studies. Therefore, to some extent, it occludes qualitative researchers from observing the attributes that different PI typologies are associated with. To fill this gap, the author develops the proposed self-reporting assessment tool (SAT) to assess PI by considering various other mechanisms used by previous academics to measure PI. This article is a concept paper that summarizes the state of knowledge in the field with preliminary work to develop SAT, and it lays the foundation for further research on PI. There, SAT will be useful for qualitative or quantitative researchers to understand the respondent's PI typology at the stage of gathering background information about the respondent.

Unveiling the determinants of audience knowledge of digital terrestrial television (DTT): empirical evidence from Indonesia

Diffusion of innovation theory considers the knowledge of innovation as the essential stage of the innovation-adoption decision. Thus, it is necessary to obtain information about the public knowledge of innovation and unveil its determinants. This study examines the relevant predictors of audience DTT knowledge in Indonesia. We analyze a large sample of respondents disaggregated by basic socioeconomic characteristics to provide a more detailed insight concerning audience DTT knowledge. The statistical summary shows that most respondents had limited familiarity with DTT. In addition, the econometric results indicate that audience gender, age, education, monthly household income, online video subscription, and participation in the DTT campaign are relevant predictors of DTT knowledge. Moreover, the results suggest other significant variables to raise DTT knowledge among subsamples of females (Talkshow and Direct-to-home TV) and those at the lower level of education (Sports and Direct-to-home TV) and income (Sports and Talkshow).

The Critical Factors Impacting Artificial Intelligence Applications Adoption in Vietnam: A Structural Equation Modeling Analysis

The concept of artificial intelligence (AI) is the transformation of inanimate objects into intelligent beings that can reason similarly to humans. Computer systems are capable of imitating a number of human intelligence functions, such as learning, reasoning, problem solving, speech recognition, and planning. In this regard, artificial intelligence applications have been developed to assist corporations and entrepreneurs in making business decisions. Hence, the aim of the study is to investigate the adoption of AI applications at the Vietnamese organizational level. Using the core structures of the technology–organization–environment (TOE), the theoretical model was constructed based on how technical and environmental elements influence companies’ technological innovation adoption decisions. Ten critical factors related to AI adoption are identified. To test the model, data were obtained from 193 senior managers who are directly in charge of information systems in both private and public companies in Vietnam. Subsequently, the Structural Equation Modeling (SEM) approach was used to analyze the data. The findings indicate that technical compatibility, relative advantage, technical complexity, technical capability, managerial capability, organizational readiness, government involvement, market uncertainty, and vendor partnership are significantly related to AI application adoption. Interestingly, the study results indicated that the relationship between organization size and AI adoption was not statistically significant. Therefore, the suggested adoption of the AI application could contribute to the existing research on the adoption of AI through the TOE. Finally, the significant government law implications and future research directions are further addressed.

Using field experiments to analyze changes in electronic data capture adoption decisions

Lacovou presented research results in a framework that describes the role of the determinants of technology, organization, and environment simultaneously influencing the innovation adoption decision-making process. The Lacovou framework is an extension study of the Tornatzky framework. Tornatzky's framework addresses three determinants that influence innovation adoption. Unfortunately, Lacovou did not present how the decision process took place. Decisions can be rational or irrational. Ajzen and several other studies defined rational decisions as decisions based on considered information or for a reason as. Previous research had not revealed empirically the rational calculation process in making innovation adoption decisions. Innovation adoption is someone's choice when he/she perceive the benefit and feel appropriate the innovation and will use or intend to use it. This study intends to reveal how the process of rational calculation in the decision-making adoption of innovations through the field experiment method. This study also reveals whether the decision of Small Medium Enterprises (SMEs) to adopt Electronic Data Capture (EDC) is rational. Research analysis using descriptive analysis method. The results show that the rational calculation process can be observed through the field experiment method. The shift in decisions represented by changes in the data on the number of subjects who make adoption decisions illustrate the rational calculation process. The results show that the decision of SMEs in adopting EDC is mostly rational. The yields of this field experiment- research was confirming Lacovou framework. The research illustrates the simulation of the effect of a combination of perceived benefits, organizational readiness, and environmental factors simultaneously

Innovation Diffusion: The Influence of Social Media Affordances on Complexity Reduction for Decision Making.

Social media is a prominent communication platform. Its active usage permeates all generations and it is imperative that the platform be fully optimized for knowledge transfer and innovation diffusion. However, there are several considerations regarding platform usage, including media affordances. Social media affordances enable users to interact with the world around them through features of modality, agency, interactivity, and navigation. Previous studies have indicated that social media affordances significantly influence user behavior and usage. However, research exploring the effect of social media affordances on knowledge acquisition and the reduction of decision-making complexities is limited. Therefore, focusing on 179 paddy farmers in Malaysia, this study examined the effect of social media affordances on information quality, knowledge acquisition, and complexity reduction regarding innovation adoption decisions using a quantitative approach. This study’s findings reveal that social media affordances have a significant effect on perceived information quality, knowledge acquisition, and complexity reduction.

Assessing E-Health adoption readiness using diffusion of innovation theory and the role mediated by each adopter's category in a Mauritian context.

BackgroundThe preparedness of healthcare institutes for the foreseen changes expected to arise through the implementation of E-Health is a significant turning point in determining its success. This should be evaluated through the awareness and readiness of healthcare workers to adopt E-Health technology to reduce health information technology failures.MethodsThis study investigated the relationship between the perceived attributes of innovation and E-Health adoption decisions of healthcare workers as part of a preimplementation process. Using a cross-sectional quantitative approach, the dimensions of the diffusion of innovation (DOI) theory were used to assess the E-Health readiness of 110 healthcare workers in a Mauritian specialized hospital.ResultsA strong inclination towards E-Health adoption was observed, where the prime stimulators were perceived as modernization of healthcare management (84.1%, ẋ=4.19), increased work efficiency through reduction of duplication (77.6%, ẋ=4.10) and faster generation of results (71.1%, ẋ=4.07). The findings of this study also validated the use of five DOI dimensions (i.e. relative advantage, compatibility, complexity, trialability and observability) in a predictability model (F(5, 101)=17.067, p<0.001) towards E-Health adoption. A significant association between ‘adopter category’ and ‘willingness to recommend E-Health adoption’ (χ2(8)=74.89, p<0.001) endorsed the fact that physicians and nursing managers have central roles within a social ecosystem to facilitate the diffusion of technology and influence the adoption of innovation.ConclusionThis is the first study of its kind in Mauritius to successfully characterize each adopter's profile and demonstrate the applicability of the DOI framework to predict the diffusion rate of E-Health platforms, while also highlighting the importance of identifying key opinion leaders who can be primed by innovators regarding the benefits of E-Health platforms, thus ensuring non-disruptive evolutionary innovation in the Mauritian healthcare sector.

The role of brand in overcoming consumer resistance to autonomous vehicles

AbstractConsumer resistance is a major barrier to diffusing radical innovation into mainstream markets. While recent studies have highlighted the influence that brands might have on innovation adoption decisions, surprisingly little is understood about the role of brands in overcoming consumer resistance to radical innovation such as Artificial Intelligence (AI) technology. To address this, we investigate consumer resistance to AI‐powered technology in the context of autonomous vehicles. Specifically, this study builds on the self‐brand connection and brand concept literature to examine: (1) the mechanism through which self‐brand connection influences radical innovation adoption by mitigating consumer resistance; (2) how this mechanism is moderated by the brand concept (conservation vs. openness); and (3) how brands can effectively overcome consumer resistance through marketing communications. By means of three empirical studies, we find that self‐brand connections are positively associated with intentions to adopt radical innovation and that this effect is mediated by reduced risk barriers (Study 1). We further demonstrate that the influence of self‐brand connection is much lower for conservation brands than for openness brands (Study 2). Finally, we show that conservation brands can leverage consumers' self‐brand connection when they effectively enhance their innovation capabilities through marketing communications (Study 3).

Investigating the underlying social psychology of the innovation adoption in container trucking industry

• We exam the social psychology of technology adoption in container trucking industry. • Our research includes contextualized behavior analysis and discrete choice model. • Risk tolerance positively moderates influence of the status quo on adoption. • Service-orientation negatively moderates influence of the status quo on adoption. Most extant literature in the transportation industry views innovation adoption as a rational choice process conducted on a cost-benefit calculation basis. This restricts our understanding of innovation decisions made by individuals embedded in a social-economic context. By investigating the underlying social psychology of the innovation adoption in the Chinese container trucking industry, this paper aims to answer the question as to ‘why trucking operators postpone adopting the cargo-truck matching system during its early stage’. In order to achieve the research objective, a mixed methods research framework is proposed. First, we conduct four in-depth interviews using semi-structured questionnaires to investigate the contextualized behavior of individuals, based on which three hypotheses are developed. Second, based on the data collected from an online questionnaire survey covering 282 trucking operators in Ningbo, the proposed empirical hypotheses are tested using a discrete choice model. We find that risk tolerance positively moderates influence of the status quo on the innovation adoption decision, whilst the effect on it of service-orientation is negative.

Adoption of Innovation of Go-Car Driver Application in Conventional Taxi Driver in Semarang City

The use of a manual system for conventional taxis causes companies to lose money because they cannot compete with private cars using the Go-Car online application. A new breakthrough made by conventional taxi companies is to work with the Go-Car applicator. Conventional taxi drivers are pleased with the presence of the Go-Car Application in the company. The purpose of this study is to determine the adoption of innovations that occur in GO-CAR partners in the city of Semarang, the role of communication in the process of innovation diffusion so that it becomes a GO-CAR partner in the city of Semarang, and the factors that influence the adoption of innovations, namely individual factors and social factors. Method. The method used is a qualitative research method. The subjects used in the study are GO-CAR partners from GO-JEK Indonesia who are still active as partners. Sources of data used in this study include primary data, that is data obtained directly when researchers are in the field or research location. It can be in the form of GO-CAR partners' daily activities while working, and the results of interviews with predetermined informants and secondary data are supporting data from data obtained from research sites or primary data, literature studies, such as journals, theses, books and documents. Secondary data in this study can also be obtained through the official website of GO-JEK. This research data collection technique uses in-depth interviews using open-ended questions and documents as past data from the research object in order to obtain information about the state of the object before the GO-CAR from GO-JEK Indonesia in Semarang City. Technical analysis using the Miles and Huberman (2014) model, namely condensing, presenting, and concluding or verifying data from the data obtained. The results showed that there was diffusion of innovation in conventional taxi drivers using the Go-Car Driver application in Semarang in the form of acceptance of a new culture of innovation in the conventional taxi company and innovation diffusion occurred in conventional taxi drivers using the Go-Car Driver application in the City Semarang and the acceptance of a new culture of innovation in this conventional taxi company. There is a difference in the concept of the innovation adoption decision process from several informants of this research, namely the reversal of the persuasion process with the decision process of several informants due to the role of the authoritarian figure in the adoption decision process. In this study, interpersonal communication channels proved to be more effective than mass media channels in the diffusion process of the Go-Car Driver Application in conventional taxi drivers in the city of Semarang.

A Multiplex Network Perspective of Innovation Diffusion: An Information-Behavior Framework

Information transmission of innovation and peer effect among firms have significant impacts on innovation adoption decisions of firms, but those effects usually depend on the different types of inter-firm networks. Therefore, the diffusion of innovation (DOI) can be regarded as a process occurring in complex systems composed of different types of interactions, which can be categorized into links belonging to different layers of multiplex networks. This study aims to shed light on the complexity of innovation diffusion from the perspective of an information-behavior framework based on multiplex networks. The process of technology innovation adoption is formulated into two stages including information perception and decision making, and a novel innovation diffusion model based on duplex inter-firm networks, in which one layer has influence on information transmission and the other carrys the peer effect, is further proposed in this study. The simulation experiments indicate that the random-scale-free duplex networks are favourable to the diffusion speed while scale-free-scale-free duplex networks are conducive to the diffusion range. Moreover, within the scale-free-scale-free duplex networks, the diffusion speed will increase with the increasing of the power law index in the information network and decrease with the increasing of the power law index of the behavior network. The study contributes to the literature by establishing duplex network model that distinguishes links between information and behavior networks, and offers insights concerning optimization of network configuration in the promotion of DOI.

Service innovation and adoption in industrial markets: An SME perspective

Service innovation is essential, particularly for companies operating in highly competitive environments, as it can lead to innovation adoption behaviors, which in turn influence overall business performance. Drawing upon the innovation adoption and relationship marketing literature, and grounded within the structure-conduct-performance paradigm and social exchange theory, this study examines the reputational and relational mechanisms through which service innovation influences the innovation adoption decisions of small and medium-sized enterprises (SMEs). A survey of 336 Australian SME representatives reveals the critical role of suppliers’ sustainable competitive advantage (SCA) and affective commitment in mediating the relationship between service innovation and innovation adoption behavior. However, industry-relevant moderators in the form of technological turbulence and long-term orientation constrain the mediating effects. Specifically, perceived SCA has stronger mediating effects among short-term-oriented customers, whereas affective commitment has stronger mediating effects when technological turbulence is low. The findings provide useful insights for organizations in terms of capitalizing on their reputation and relationship with customers to encourage the adoption of innovation by SMEs.

Consumers’ acceptance and resistance to virtual bank: views of non-users

Convergence between technology and financial services is ubiquitous and widespread. Virtual banks represent an important aspect of financial markets that can generate value added for consumers and enhance the quality of financial services. This study explores the effect of innovation characteristics (relative advantage, compatibility, and perceived risk), consumer characteristics (status quo bias), and social mechanisms (network externality: complementarity, numbers of peers) on consumers’adoption intention and resistance to virtual banks. This study adopted an innovation resistance model with two dependent variables: adoption intention and resistance to virtual banks. An online self-administered survey was conducted and 532 or non-users of virtual banks aged 20 to 69 years old were analyzed. Frequency analysis, descriptive analysis, and hierarchical multiple regression indicated that status quo bias, relative advantage, perceived risk, complementarity, and number of peers insignificantly influence the adoption intention regarding virtual banks. Furthermore, status quo bias, relative advantage, perceived risk, and number of peers insignificantly influence the resistance to virtual banks. Female respondents have a lower adoption intention and higher resistance to virtual banks than male respondents. The findings suggest that the innovation resistance model can be useful in understanding consumers’adoption and resistance behavior as well as reveal that innovation characteristics, consumer characteristics, and social mechanism are important antecedent variables of the innovation adoption decision.

A conceptual framework of the adoption of innovations in organizations: a meta-analytical review of the literature

Studies on the adoption of innovations in organizations are abundant and have introduced many different factors that are likely to influence adoption decisions yet, somehow, without an integrated view among them and with somehow contradictory empirical results. This study introduces a conceptual framework in which the attributes of innovation–adoption decision linkages in organizations are mediated by both the behavioral preferences of managers and organizations’ resources and moderated by the innovation life cycle. It further meta-analytically tests the framework’s predictions on 185 primary empirical studies. The findings are expected to contribute to the literature on the adoption of innovations by deepening the theoretical conditions and empirical factors that are likely to influence adoption decisions in organizations. The study also has implications for practice, since it sheds light on the factors that practitioners can leverage to manage the diffusion of innovations.

Digital nudging to overcome cognitive resistance in innovation adoption decisions

ABSTRACTConsumers often resist adopting innovations, even in cases where they acknowledge that these would be beneficial for them. Cognitive biases in consumers’ decision-making may trigger resistance to innovation. We explore cognitive biases’ effects in innovation adoption decisions. Further, we investigate how digital nudging can be used to mitigate this in order to increase the adoption likelihood for an innovation. We build a set of hypotheses and test them in a quasi-field experiment with 821 participants. We first show that the occurrence of cognitive biases correlates with an up to 44% lower likelihood of adopting an innovation. Second, we find that digital nudging can partially overcome resistance to innovation and can increase the innovation adoption likelihood. Our findings contribute to theory by explaining how resistance to innovation is built from a cognitive perspective and how nudging can be used to increase innovation adoption.

To Evaluate or Not to Evaluate?

Using information processing theory (IPT) as the theoretical lens and incorporating various literatures following the IPT lens (e.g., dual-threshold in signal detection), this article develops a two-process model of innovation adoption decision making, accounting for the possibility for potential adopters (at different levels) to make adoption decisions (adopt, do not adopt) with or without an intensive evaluation of the innovation. Specifically, this article proposes that there is an attention process prior to the extensively investigated intensive evaluation process; potential adopters may make adoption decisions (adopt, do not adopt) at the end of the attention process or defer making decisions until after an intensive evaluation is conducted. The impacts of innovation attributes on various influence targets (i.e., relative advantage belief strength, adoption threshold and rejection threshold) during the less examined attention process are also discussed. This article may contribute to the innovation adoption literature and provide practical implications for innovation proponents/detractors regarding how to craft sensegiving messages influencing potential adopters' decision making.

Multiple peer effects in the diffusion of innovations on social networks: a simulation study

Peer effects in innovation adoption decisions have been extensively studied. However, the underlying mechanisms of peer effects are generally not explicitly accounted for. Gaps in this knowledge could lead to misestimation of peer effects and inefficient interventions. This study examined the role of two mechanisms—sharing experiences (namely, experience effect) and externalities—in the adoption of an agricultural innovation. By referring to the diffusion process of a new crop in Chinese villages, we developed a simulation model that incorporated experience effect and externality effect on a multiplex network. The model allowed us to estimate the influence of each specific effect and to investigate the interplay of the positive and negative directions of the effects. The main results of simulation experiments were the following: (1) a negative externality effect in the system caused the diffusion of innovation to vary around a middle-level rate, which resulted in a fluctuating diffusion curve rather than a commonly found S-shaped one; (2) in the case of full diffusion, experience effect significantly shaped the diffusion process at the early stage, while externality effect mattered more at the late stage; and (3) network properties (i.e. connectivity, transitivity, and network distance) imposed indirect influence on diffusion through specific peer effects. Overall, our study illustrated the need to understand specific causal mechanisms when studying peer effects. Simulation methods such as agent-based modelling provide an effective approach to facilitate such understanding.

Innovation attributes and managers' decisions about the adoption of innovations in organizations: A meta-analytical review

The adoption of innovations has emerged as one of the dominant research topic in the management of innovations in organizations, though investigations often yield mixed results. To help managers and researchers improve the effectiveness of their efforts, the authors employed meta-analysis integrated by structural equation modeling to analyze the associations between the attributes of innovations, behavioral preferences of managers and organizations' innovation adoption decisions in a mediated-moderated framework. Our findings offer evidences that attributes of innovations influence behavioral preferences of managers and, in turn, adoption decisions in organizations. We also observe that the context in which the adoption decision takes place and the research settings employed by scholars matter. Finally, the theoretical contribution and practical implications of our meta-analytical results are discussed.