Adoption Decisions Research Articles

Peran Digital Entrepreneurship Mindset: Keputusan Adopsi Platform Digital Bagi Pelaku Bisnis

The research was conducted to analyze the influence of developing a digital entrepreneurship mindset as an impact of facing digital transformation for MSME actors by considering digital aptitude factors, digital literacy. Non-random sampling techniques were taken by 120 MSME actors and questionnaire distribution techniques by convenience sampling. Data analysis method to determine the relationship between variables with multiple linear regression and path analysis test (sobel test), data was processed using the IMB SPSS 25 application. Finding the results of digital aptitude t count 5,531 and digital literacy tcount 4,419 > ttable1,980 (level sig. 5%) have a significant effect on DEM and all simultaneous variables 47% influence the development of digital entrepreneurship mindset. Digital aptitude tcount 5,531 and digital literacy tcount 3,215> 1,980 have a significant effect on digital platform adoption decisions and variables simultaneously by 55% have an influence on adopting digital platforms. Meanwhile, the results of the DEM pathway test were significantly able to mediate the influence of digital aptitude Zhitung = 2 and digital literacy Zhitung = 2.854> 1.96 on digital platform adoption decisions.

Do the certainty tone and seniority of physicians matter in patients' information adoption in online health communities?

PurposeGiven the popularity of online health communities (OHCs) and medical question-and-answer (Q&A) services, it is increasingly important to understand what constitutes useful answers and user-adopted standards in healthcare domain. However, few studies provide insights into how health information characteristics, provider characteristics and recipient characteristics jointly influence user information adoption decisions. To fill this research gap, this study examines the combined effects of physicians' certainty tone as information characteristics, seniority as provider characteristics and disease severity as recipient characteristics on patients' health information adoption.Design/methodology/approachDrawing on dual-process theory and information adoption model, an extended information adoption model is established in this study to examine the effect of attitude certainty on patients' health information adoption, and the moderating effects of online seniority and offline seniority, as well as patient motivation level—disease severity. Utilizing logit regression models, the authors empirically tested the hypotheses based on 4,224 Q&A records from a popular Chinese OHC.FindingsThe results show that (1) attitude certainty has a significant positive impact on patients' health information adoption, (2) the relationship between attitude certainty and information adoption is negatively moderated by physicians' online seniority, but is positively moderated by offline seniority; (3) there is a negative three-way interaction effect of attitude certainty, online seniority and disease severity on patients' health information adoption.Originality/valueThis study extends the information adoption model to examine the two-way interaction between argument quality and source reliability, as well as the three-way interaction with user motivation level, especially for health information adoption in the healthcare field. These findings also provide direct practical applications for knowledge contributors and OHCs.

Towards circular farming: factors affecting EU farmers’ decision to adopt emission-reducing innovations

ABSTRACTThe agriculture and livestock sectors face several challenges related to achieving the current EU environmental objectives. Two of the major policy goals include reducing greenhouse gas emissions and ensuring an increased share of nitrogen, phosphorus, and potassium from renewable sources. Farmers are continuously seeking to adopt technologies and solutions to ensure sustainable food production systems. Adoption of innovation at the farm level based on a circular economy may improve resource efficiency, allow the reuse and recovery of nutrients, and reduce the negative effects of emissions on soil, water, and air. This study aims to identify the factors affecting the adoption of several circular agronomy solutions using a semi-structured questionnaire on a sample of farmers in four EU countries: Spain, Austria, the Czech Republic, and Italy. The results indicated that acceptance of proposed circular innovations is closely related to farmers’ environmental objectives, experience, university education, previous experience in innovation adoption, and environmental attitudes. Additionally, institutional support plays a significant role in adoption decisions. Factors affecting adoption decisions may assist policymakers in designing more specific and efficient measures to help farmers meet their current social needs and environmental challenges.

Impact of Modern Beehive Technology Adoption on Household Income: Evidence from North Shewa Zone, Oromia National Regional State, Ethiopia

Hidabu Abote, Dera, Wera Jarso and Debra Libanos districts of North Shewa zone are potential in honey production. To enhance this potential, different organizations disseminate improved beehives technologies for the smallholder farmers. However, the impact of the disseminated technologies on household income has not been evaluated. Thus, this study aimed to evaluate the impact of improved beehive adoption on household income. Purposive and two stage sampling technique was used to select 384 sampled households. The study used logistic regression model to identify the determinants of adoption decision of modern beehive technology while propensity score matching to evaluate the impact of modern beehive technology adoption on household income. The result of logistic regression model shows that age of household head, family size, households experience in beekeeping, frequency of extension contact, access to credit services, access to training and access to beehive demonstration site visit had positive and significant effect on household adoption decision of modern beehive technology. The result of propensity score matching indicates that the adopters of improved beehive technology were earned Birr 2690.383 than non-adopter. The difference in household income between the two groups shows that there is considerable room for improvement of household income through increasing the number of adopter of improved beehives technology in the study area. This should be done through provision of training, credit, extension and expansion of beehive demonstration site among the others.

Adoption and forecasting of technology: modeling the dynamics of cloud adoption using a system approach

PurposeThis paper aims to examine the dynamism of causal relationships among cloud computing (CC) adoption factors in the Indian context, considering the perspectives of both the cloud adopter and cloud provider.Design/methodology/approachThe case-study method has been used to understand the dynamics among the factors. Using data from specific cases in India, causal loop diagrams (CLDs) have been developed. System dynamic modeling (SDM) and simulation are used to study the relationships and their effect on the adoption rate.FindingsThe results revealed that adoption of CC depends on various factors such as persuasion (time-saving, cost-saving and word of mouth) and constraint factors (security and financial loss). However, it is seen that the adoption rate is very sensitive to changes in adoption per contact and word of mouth. Further, the adopter firm has a quicker time to market, which gives an added advantage to the firm. Also, with CC services, a firm can fulfill its projects or clients' requirements with little to no upfront investment in information technology (IT) services.Practical implicationsLack of security, standardization and undefined service-level agreements are a few pressing issues that make it difficult for firms to evaluate the performance and reliability of services. Hence, immediate attention is needed to make transparent policies on CC and its services, thereby building trust.Originality/valueThis is the first and only work that has tried to explore and empirically test the dynamics of critical factors while making an adoption decision, considering both the adopter and provider perspectives. This study shows the journey of a firm, starting from being a prospective adopter to an adopter and continuous user. The work also empirically tested how adopters of technology benefit from the technology.

Faktor-Faktor yang Memengaruhi Keputusan Adopsi Benih Padi Varietas Rojolele Srinuk oleh Petani Kecamatan Delanggu Kabupaten Klaten

<p><em>Rojolele Srinuk rice is a new variety developed by the National Nuclear Energy Agency (BATAN) with improved characteristics compared to its progenitor, Rojolele. This study investigates the internal and external factors of farmers who adopt the Rojolele Srinuk rice seed variety and those who do not. This study employs quantitative methodology. This investigation was conducted in Delanggu Sub-district, Klaten Regency. All of the participants in this investigation were rice farmers from the Delanggu Sub-district. The number of 48 respondents was chosen purposefully or intentionally as the sample size. They utilized descriptive analysis and logistic regression for analysis. Results indicated that factors such as age, education, farming experience, the nature of innovation, communication channels, and the function of agricultural extension agents were significant in determining adoption. Education, the essence of creation, and the role of agricultural extension agents substantially influence adoption decisions.</em></p>

Digitalization & Covid-19: An institutional-contingency theoretic analysis of supply chain digitalization

Black Swan external contingencies like the COVID-19 pandemic or Suez Canal blockage have a significant impact on the technology adoption decisions in firms. At a firm level, supply chains are the segments that are most prone to disruption due to these shocks. Hence the need to study the role of these contingencies in enabling digitalization in supply chains. Modern supply chains operate in a strong institutional environment that influences various aspects like technology adoption and digitalization. In this study, we bring these two aspects together by applying an institutional and contingency theory perspective. We investigate the institutional forces and the effect of environmental contingencies on the digitalization of supply chains. We propose a generalizable model to investigate digitalization readiness independent of the technological artefact being implemented. To achieve the same, we identify the forces of digitalization in the supply chains from the review of the extant literature. We then model the forces of digitalization into a Bayesian Belief Network (BBN). The study finds that organizational readiness and people readiness are critical elements of digitalization readiness. Our study reports the importance of top management's involvement and employees' training as the critical forces aiding digitalization.

The effect of organic and inorganic soil fertility management technologies on smallholder farmers’ net revenue and nutrition security: Evidence from southwest region of Ethiopia

Technologies are better evaluated as packages, i.e., bundles of adoption decisions, rather than a segregate adoption, given the preeminent effect of the combinations on food and nutrition security, productivity, and other welfare outcomes. This study therefore assessed the effect of organic and inorganic soil fertility management technologies on net revenue and Nutrition security of smallholder farmers in Southwest Ethiopia. A multinomial endogenous switching regression (MESR) model, which captures both self-selection bias and the interactions between choices of alternative packages, was applied for this study since farmers’ adoption decisions are likely influenced by unobservable characteristics that may be correlated with the outcomes of interest. The investigation result revealed that, from the three adoption combinations of organic and inorganic soil fertility management technologies, joint adoption of the two technology groups was found to have a significant effect on both net revenue and Nutrition security simultaneously. Unlikely, the isolated adoption of the two soil fertility management technologies may not result in an intended nutrition security outcome. Thus, for the simultaneous improvement in net revenue and nutrition security, the study recommends concentrating on the joint practice of the two organic and inorganic soil fertility management technologies.

Strategic live streaming choices for vertically differentiated products

Live streaming as a new shopping channel can disclose revealing information on quality preference. With this channel, viewers can obtain additional product details along with entertainment utility from streamers' product showcasing. This paper examines live streaming strategies for vertically differentiated firms that sell products of high or low quality. We obtain the optimal pricing strategies for the high-quality, low-quality firms under a particular live streaming strategy (i.e., (N,N); (S,N); (N,S); (S,S)). We identify how the competing firms should set their live streaming strategies. As the entertainment value increases, firms with a competitive edge are more willing to adopt live streaming. If the “quality-adjusted cost” is lower than 12, then the high-quality firm is prone to adopt live streaming; otherwise, the low-quality firm is prone to adopt live streaming. The entertainment value greatly influences the adoption decision. When the streamer is more popular and charges a medium fixed cost, the competitive firm (i.e., small marginal cost, high quality) should adopt live streaming to expand its marketplace. The other firm should refuse live streaming and emphasize improving its product quality and competitiveness. Interestingly, live streaming is not always beneficial to firms when the competitive advantages dominate the impact of live streaming and the informative degree is improved little.

How to calculate privacy: privacy concerns and service robots’ use intention in hospitality

ABSTRACT Artificial intelligence in hospitality is increasingly transforming the way we travel. Service robots collect, store, analyze, and act upon a continuous stream of private information as a by-product of human-robot interaction. As such, they invade consumers’ virtual and physical space and raise privacy challenges in AI settings. We conduct a survey study(n = 576) and validate a mediating contextualized model of consumers’ adoption decisions on service robots in hospitality from privacy concerns. Our findings highlight the interplay between perceived risk and perceived benefit in shaping service robots’ adoption decisions is partially mediated by privacy concerns. Our findings also highlight the mechanism of privacy concerns, conceptualized as psychological constructs of collection, control and awareness of privacy practices, as an important addition to the established multiple chain mediating effect. The insights explain how consumers calculate privacy between perceived risk and benefit, and help reconcile a fundamental tension among consumers, how to avail benefits of privacy by improving the privacy awareness and control associated with the collection of private information in hospitality.

An ISM-DEMATEL analysis of blockchain adoption decision in the circular supply chain finance context

PurposeThis study aims to provide a series of drivers that prompt the blockchain technology (BT) adoption decisions in circular supply chain finance (SCF) and also assesses their degrees of influence and interrelationships, which leads to the construction of a theoretical model depicting the influence mechanism of BT adoption decisions in circular SCF.Design/methodology/approachThis study mainly uses the technology-organization-environment (TOE) framework, which focuses on the aspects based on the nature of innovation, intra-organizational characteristics and extra environmental consideration, to identify the drivers of blockchain adoption in circular SCF context, while the significance and causality of the drivers are explained using interpreting structural models (ISMs) and the decision-making trial and evaluation laboratory (DEMATEL) method.FindingsThe findings of this study indicate that government policy and technological comparative advantage are the underlying reasons for BT adoption decisions, management commitment and financial expectations are the critical drivers of BT adoption decisions while other factors are the receivers of the mechanism.Practical implicationsThis study provides theoretical references and empirical insights that influence the technology adoption decisions of both BT and circular SCF by practitioners.Originality/valueThe theoretical research contributes significantly to current research and knowledge in both BT and circular SCF fields, especially by extending the existing TOE model by combining relevant enablers from technological, organizational and external environmental aspects with the financial performance objectives of circular SCF services, which refer to the optimization of the financial resources flows and financing efficiency.

Intrahousehold preference heterogeneity and demand for labor‐saving agricultural technology

AbstractEvaluations of agricultural technologies rarely consider the implications of how adoption may alter the labor allocation of different individuals within a household. We examine intrahousehold decision‐making dynamics that shape smallholder households' decision to use mechanical rice transplanting (MRT), a technology that disproportionately influences demand for women's labor. To study the adoption decision, we experimentally estimate the willingness to pay for MRT services both at the individual and household level. We find that women value MRT more than men, especially when they participate in transplanting on their own farms. This preference heterogeneity is evident in the unconditional differences between women's and men's valuation and differences conditional on their individual observable characteristics. Despite having stronger preferences for MRT, women have less influence on the household's technology adoption decision than men. This differential influence over the MRT adoption decision reflects the intrahousehold power structure: in households where women have less control over assets, they also have less influence over the MRT adoption decision. Our results highlight how technological changes interact with unobserved, gender‐based intrahousehold power relations to influence agricultural production decisions and, by extension, the gendered allocation of labor and welfare of women.

Critical Issues Facing SMEs’ Actors in the Adoption of Emerging Digital Marketing Technology (EDMT)

This paper examines the ordeals actors of SMEs face in the adoption process of Emerging Digital Marketing Technology (EDMT). A conceptual framework was proposed to capture actors that participate in EMDT and the difficulties they (themselves) pose that hinder successful adoption. However, a purposive sample of 26 participants drawn from Crunch online database, Luton were interviewed on unstructured and semi-structured bases and analyzed using a thematic approach. The interviews on the problems were coded and classified based on the actors involved in the adoption process to extend the T-O-E framework. The findings revealed that while extant problems relate to the contexts of technology, organization, and environment, the extended T-O-E framework unraveled more critical problems that are linked to the in-grained human context. Implicit is that vendors should work on decision-makers, given that some of the adoption decisions are critically and continuously influenced by the actors.

Linking farmers to markets: Does cooperative membership facilitate e-commerce adoption and income growth in rural China?

This study uses the 2020 China Rural Revitalization Survey to investigate the associations between cooperative membership, E-commerce adoption, and household income. Using the conditional mixed process framework, we find that cooperative membership promotes rural households’ e-commerce adoption, and cooperative membership and e-commerce adoption significantly increase rural household income. The two-stage predictor substitution approach confirms this result. Further, participating in different types of cooperatives has heterogeneous effects on the e-commerce adoption decision and household income growth. However, regardless of whether or which cooperative households participate in, e-commerce adoption significantly increases household income. Policymakers can work with e-commerce enterprises, leverage the current cooperatives, especially the village stock economic and market cooperative, and set up e-commerce cooperatives to popularize e-commerce-related knowledge to encourage e-commerce adoption among rural households. Further, considering the regional disparities in e-commerce adoption, it is essential to strengthen the policy support for the rural households residing in Central and Western China to narrow the “digital divide.”

Risk preferences, adoption and welfare impacts of multiple agroforestry practices

Despite growing literature on the impact of agroforestry practices on livelihoods and welfare, studies that account for the multiplicity of agroforestry practices, which may be governed by farmers' divergent risk and time preferences are lacking. This is especially the case for agro-silviculture and silvopasture agroforestry systems that entail significant fixed and management costs in which farmers' risk tolerance and patience may play a big role in adoption decisions. In this paper, we first explore the effect of farmers' risk and time preferences on the uptake of multiple agroforestry practices (MAPs). Then, we examine whether the multiplicity of agroforestry practices increases farmers' income using multinomial endogenous switching regression. We find farmers' risk and time preferences significantly govern the adoption of agroforestry practices, with risk-averse farmers and farmers with lower discount rates more likely to adopt MAPs. More importantly, the complementarity and importance of adopting MAPs is highlighted by the 29% increase in income of farmers who practice both agro-silviculture and silvopasture. This result highlights the more important role of integrated agroforestry that creates synergy for welfare improvement.

Understanding vegetable farmers' adoption, dis-adoption, and non-adoption decisions of pest management by pheromone trapping.

The use of pheromone traps can minimize the excess application of synthetic insecticides, while can also benefit the environment. The use of pheromone traps has been promoted and suggested to vegetable farmers of Bangladesh for widespread adoption. However, the majority of farmers have continued to spray insecticides instead of using pheromone traps. The present study investigated the factors influencing farmers' adoption, dis-adoption, and non-adoption behavior of pheromone traps for managing insect pests. Primary data were collected from 438 vegetable growers. Data were analyzed using descriptive statistics and multinomial logistic regression. About 27% of the farmers abandoned the technique shortly after it was adopted as it was time-consuming to manage insect pests. Marginal effect analysis revealed that the likelihood of continued adoption was 34.6% higher for farmers who perceived that pheromone traps were useful in controlling insect pests. In contrast, the likelihood of dis-adoption was 16.5% and 10.4% higher for farmers who maintained communication with private pesticide company agents and neighbor farmers, respectively. Extension services by government extension personnel might be encouraged and maintained as a key component in increasing farmer awareness regarding the use of pheromone trap. Strategies to promote pheromone traps in vegetable production should highlight the positive impacts to farmers and the environment, as this would most likely lead to their continued and widespread use after initial adoption.

Farmers' green technology adoption: Implications from government subsidies and information sharing

AbstractWhile the previous literature on green technology adoption has not fully considered information sharing, we consider the impact of demand information sharing on the adoption of green technologies by risk‐averse farmers in a vertical agricultural supply chain. We find that government subsidies and information sharing do not always promote farmers' adoption of green technologies. The accuracy of the information plays a vital role in promoting farmers' adoption of green technologies; however, the increased green technology adoption induced by more accurate information may be detrimental to farmer welfare in the presence of production diseconomies. Information sharing can reduce the amount of government subsidies for promoting green technology adoption, thereby suggesting the substitutable role of information and monetary instruments. Nonetheless, information‐sharing may lead to lower water savings and thus should be adopted with caution. Risk aversion has a nontrivial impact on agricultural technology adoption: farmers are more likely to adopt traditional agricultural technologies when their risk aversion is either very low or very high. Finally, we validate our decision model with U.S. Department of Agriculture cotton production data and propose management insights to help farmers make appropriate adoption decisions under information asymmetry and risk‐averse attitudes.

Who should adopt blockchain? The interplay between blockchain adoption and online channel under competition

With the frequent occurrence of product quality and product safety problems, traditional supply chain traceability systems have become increasingly untrustworthy to consumers due to their centralization, opacity, and vulnerable to tampering. Blockchain technology, as an emerging information technology, can help to increase consumer trust and resolve these issues. This paper investigates a competitive market with two rival supply chains that manufacture and sell two substitutable products. We establish a game model to analyze the equilibrium strategy in the implementation of blockchain technology and online channel, under the scenarios of blockchain adoption by the manufacturer and the retailer, and further explore the effects of blockchain technology on supply chain efficiency and consumer surplus. Additionally, we compare various blockchain technology adoption scenarios and determine the optimal candidate for blockchain adoption. The following results are shown. First, the equilibrium strategies for applying blockchain technology and online channel depend on the entry cost, the net surplus of substitute product, and the deployment cost of blockchain technology. Second, blockchain technology can only influence online channel decisions when the entry cost is moderate, and may encourage (discourage) the manufacturer to establish an online channel when it is utilized by the manufacturer (retailer). Thirdly, blockchain technology is certain to expand the market share of the product but is likely to detriment the retailer and the consumers when the manufacturer utilizes it. If blockchain technology is adopted by the retailer, the market share and consumer surplus may decrease, but the manufacturer will be unharmed. Lastly, the manufacturer has greater flexibility in adoption decisions when blockchain technology can be implemented by both the manufacturer and the retailer.

A variational model for innovation diffusion under fuzzy uncertainty

We propose a variational approach to study the market penetration of new technologies under conditions of spatial heterogeneity in the economic factors influencing the process and imprecise knowledge about their intensities. Differently from other methodologies that describe the adoption process in terms of partial differential equations, we formulate the model as a minimization problem of an appropriate variational functional with fuzzy coefficients. This approach permits to consider in the analysis both the attractive and diffusive forces that drive the process and the subjective opinions of policy makers about the actual influence exerted by these determinants on the adoption decision. Interestingly, our results show that different degrees of uncertainty lead to significantly different predictions about the diffusion process and, therefore, our methodology could be applied to support strategic decisions concerning innovation diffusion plans. An application to the digital transition in agriculture is also provided to study the effectiveness of government policies.

Climate-smart agriculture in Ethiopia: Adoption of multiple crop production practices as a sustainable adaptation and mitigation strategies

Given that Ethiopian agriculture is seriously threatened by climate change, understanding the factors that influencing the adoption of various climate-smart agricultural (CSA) practices supports policy interventions to reduce negative effects of climate change. Therefore, this study was aimed at exploring determinants of the adoption of multiple CSA practices by focusing on crop production. This study used data from 271 randomly selected smallholder farmers from the Gamo, Gofa and Konso zones of Southern Ethiopia, and a multivariate probit (MVP) model was used to analyze the data. Crop diversification, irrigation, drought-tolerant and early-maturing crop varieties, integrated soil fertility management, and integrated pest management were prominent CSA practices to improve crop productivity, increase adaptivity capacity, and mitigate the adverse climate change effects in the study area. The study's findings indicate that the adoption of CSA practices varies considerably between farmers and agroecology. The MVP simulation result reveals that farmers’ adoption decisions for CSA practices are highly interdependent, indicating that farmers adopt two or more adaptation and mitigation strategies as mutual CSA practices. Furthermore, the regression result reveals that the education level of farmers, extension contact, accessing climate variability information, access to irrigation facilities, and social group participation were similar underlying factors that affected the adoption decision of CSA practices. By providing climate change information, respective organizations should encourage farmers to utilize available alternate irrigation access and climate-resilient crop varieties. In addition, strengthening social norms through agricultural cooperatives and training on the application of integrated pest management and soil fertility management are suggested to spur farmers' CSA uptake.