Product Adoption Research Articles

Disguise Learn: A Best-in-Class Hybrid Learning Program Case Study

This case study examines the development and implementation of “Disguise Learn”, a hybrid learning program designed to elevate customer training experiences, enhance product adoption, and foster client success in the extended reality (xR) and virtual production (VP) realms. The study highlights the business needs that led to the creation of Disguise Learn, the strategic design of the program, its deployment, change management efforts, and the measurable benefits realised. The study aims to showcase best practices in creating a comprehensive and engaging hybrid learning environment that aligns with organisational objectives and industry demands.

Barriers to a sustainable living in Italy: results of a national survey

Abstract Background Sustainable living plays a crucial role in creating a fairer society, but various constraints prevent consumers from adopting sustainable behaviours. This study investigated the reasons for non-adoption of sustainable products or behaviours among the Italian population. Methods From January to June 2023, we surveyed the Italian population using a 40-question online survey that asked about knowledge, awareness, and attitudes toward sustainable behaviours and products. Participants were asked about the reasons why they did not engage in a certain behaviour or did not use a selected product. Descriptive statistics, t-test and chi-square tests were performed to assess association with participant characteristics. Results The 420 participants had a median age of 39 years (interquartile range: 32-56), 66% were female. The largest discrepancy between knowledge of sustainability impacts and implementation was in the personal care (92% knowledge, 31% implementation) and transportation (85% knowledge, 48% implementation) domains. In general, the main reasons for not using the surveyed products were practical complications in everyday life (25%), the difficulty of finding or producing them (23%) and their cost (13%). Specifically, practical complications (42%) were the main reason for not adopting sustainable behaviours in the transport domain. In the personal care domain, low confidence in product quality or ignorance of their existence accounted for only 26% of reasons for non-use, while supply problems, practical complications in everyday life and existence unawareness accounted for 61%. Conclusions Targeted measures are needed to address the reasons for non-use or adoption of sustainable products and behaviours. In this way, these actions will help to promote healthy living, protect our planet, support socio-economic development, and ensure global prosperity. Key messages • A greater sustainability- implementation awareness gap was found in personal care and transportation domains. • The main reasons for not implementing sustainable living were practical complications in daily life, supply difficulties and product cost.

Knowledge and perceptions towards organic farming: a case of pineapple farmers in central Uganda

This study examined the knowledge and perceptions as well as factors that influence the knowledge and perceptions of pineapple farmers towards organic farming in Uganda. Through multi-stage sampling procedures, purposive and random techniques were applied at different stages to select participants from both Luwero and Kayunga districts in central Uganda. Data was collected using a semi-structured questionnaire. A composite index for knowledge and perceptions was computed for each respondent and subjected to descriptive statistics while the censored Tobit regression model was used to determine factors that influenced farmers’ knowledge and perceptions of organic farming. Results showed that both organic and non-organic farmers had a high level of knowledge and favorable perceptions towards organic farming with no significant difference. Perceived environmental and economic benefits of organic farming did not significantly differ (p > 0.05) among organic and non-organic farmers. However, mean scores for perceived health and nutritional (4.30 vs. 3.94) benefits, and access to markets (4.10 vs. 3.89) differed significantly (p < 0.05) between organic and non-organic farmers. There was a positive and significant relationship between knowledge and perception of organic farming among non-organic farmers while for organic farmers, a significant and negative relationship was observed. Factors that significantly influenced farmers’ knowledge were information sources and farmers’ experiences. Farmer perceptions were influenced by education, information sources, group membership and extension services. Therefore, to enhance the adoption and growth of organic pineapple production in Uganda, policymakers and promoters should consider these factors when designing policy documents and sustainability strategies for the development of organic agriculture.

Digital Transformation in the Health Product Supply Chain: A Framework for Analysis

ABSTRACT Well-functioning supply chains for medicines and other health products are vital for a health system’s goals of ensuring access, quality, and efficiency. However, in several countries the performance of government-run supply chains for health products remains subpar. The widespread adoption of digital technology presents new opportunities for enhancing the performance of the health product supply chain. This paper aims to provide a practical and systematic analysis of digital initiatives within health product supply chains. It provides examples of successful digital interventions in each of the Enable, Plan, Source, and Deliver categories of the Supply Chain Operations Reference model. The examples provide clear evidence that the use of digital technology in the health supply chain can improve access and affordability; in some instances, use of digital technology can lead to faster health product adoption and alter the overall architecture of decision making. While many digital interventions in the public sector supply chain target the collection of data and its analysis and use for reporting, the long-term effectiveness of digital solutions hinges on their ability to enhance the agency of supply chain actors. A thorough and systematic inquiry about the logic model of how a particular digital solution enhances agency and improves accountability is essential at the outset. In developing roadmaps to prioritize and sequence digital solutions in health supply chains, governments should start by asking where lack of information is the primary constraint impeding supply chain performance.

The Impact of Green Trade Openness on Air Quality

Environmental degradation is among the most pressing issues the world faces today. Air pollution is one of the many forms of environmental degradation and can drastically impact human health and ecosystem functioning. Research shows that rapid intervention strategies are required to achieve the environmental targets set out by international agreements. One strategy that has been widely accepted to combat this issue of environmental degradation is the introduction of green products. The adoption of green products can be increased through trade. However, knowledge of the impact of trading these products is limited. This study examines the relationship between the trading of green products and air quality in a case study of 33 Organization for Economic Cooperation and Development (OECD) member countries from 2003-2016. We employ several panel strategies, such as the Westerlund (2008) Durbin-H method for cointegration and the Method of Moments Quantile Regression (MM-QR). The trading of green products was proxied by the newly developed ‘Green Openness Index.’ Nitrous oxide (NOx) and sulfur oxide (SOx) emissions served as proxies for air pollution. The relationship between the variables was explored in the context of the Environmental Kuznets Curve (EKC). The cointegration analysis reveals that there is a long-run relationship among the series. Long-run estimations prove that the EKC hypothesis is valid for the analyzed series. Additionally, the empirical findings reveal that trading environmentally friendly products increases air quality while energy consumption decreases. We provide several policy suggestions based on the study’s outcomes, such as supporting the trade liberalization of green goods, reducing tariff and non-tariff barriers for environmentally friendly products, and promoting the adoption of environmentally friendly goods by providing subsidies and other tax incentives to consumers.

Exploring consumers’ innovative products adoption process: based on technology readiness and value-based adoption

ABSTRACT This study seeks to empirically verify whether technology readiness composed of facilitating factor and inhibiting factor, affects consumer’s decision on innovation adoption. In addition, in an attempt to explore the mediation mechanism, the study sought to confirm whether technology readiness impacts consumers’ adoption decision through the dual paths, employing double sided perceptions with regards to perceived benefits and perceived sacrifices of the innovation. Finally, the study examines the moderating effect of psychological distance on the relationships between perceived benefits (and sacrifices) and adoption intention. Result of the study revealed that innovativeness affects the intention to adopt innovative products. Perceived benefits (and sacrifices) mediated the relationship between technology readiness and the intention to adopt innovative products. Finally, the study confirmed that the psychological distance moderates the relationship between perceived benefits (and sacrifices) and the intention to adopt innovative products.

On-Farm Grain Yield Stability and Farmer Perceptions on Pre-release Pearl Millet Lines in Zimbabwe

Farmer participation in on-farm research does not only accelerate information gathering but also results in adoption of new research products. Here, we report on-farm trials conducted across five districts of Matabeleland province in Zimbabwe to explicate grain yield stability and farmer perceptions on eight pre-release pearl millet (Pennisetum glaucum L.) lines. The results indicated that genotypic effects on grain yield were significant in both individual and across-site analysis of variance and that farmers prioritize earliness and grain yield as must-have traits in millet varieties. The five districts were grouped into two distinct environments, with four districts (i.e., Bulilima, Gwanda, Matopos and Tsholotsho) in one group (i.e., DGrp1) and Mangwe district forming the second group (DGrp2). Pearl millet pre-release lines PM1 (1.425 kg ha-1), PM9 (1.043 kg ha-1) and PM6 (761.8 kg ha-1) showed high yield, stability and were the most preferred by farmers. In conclusion, on-farm trials may offer the quickest possible solution to boost low-pearl millet production resulting from the continuous use of unproductive landraces and old varieties by farmers.

Economic impact of inclusion of black soldier fly products in broiler diets: A comparison between conventional and higher animal welfare production systems in the Netherlands

The primary objectives of this study were to analyze economic feasibility of incorporating black soldier fly products in broiler feed and to compare the viability of alive (alive grown larvae (AGL)) or processed (defatted larvae meal (DLM) and insect oil) insect inclusion into the two Dutch broiler welfare systems: conventional and better life one star (BLS).An existing simulation model for insect production was adapted to build an economic model for the insect-fed broiler breast meat supply chain. Amounts, full costs, and breakeven prices of different production setups were compared and the impacts of specific input parameters were tested by sensitivity and breakeven analyses.Results indicated a hypothetical demand of 2.15 million tons wet matter of raw substrate to meet the total Dutch breast meat production (BLS broilers and 10% AGL inclusion). In case of 10% processed insect inclusion, the conventional broiler breast meat price increased from 3,947 to 6,069 €/t (53.7%) and the BLS breast meat price from 6,493 to 9,662 €/t (48.8%). Alive insect inclusion resulted in a smaller cost increase (42.2%) by skipping the costly processing step. To become price competitive, DLM or AGL must cost 618 or 801 €/ton dry matter (tDM), respectively, requiring a raw substrate mix price of −109 €/tDM.High input amounts and costs currently hinder the widespread adoption of insect products in Dutch mass poultry feed. However, in the long run, using negative value substrates or targeting niche markets for broiler welfare with low AGL inclusion levels could become viable business models.Research is needed on the impact of negative value substrates on insect production performance and contamination risks. Furthermore, the impact of varying AGL composition requires special attention.

Consumer skepticism towards organic beauty products Cross-country research

Based on the attitude–behaviour–context (ABC) theory, the present study addressed consumer skepticism as one of the inhibitors of organic purchasing behaviour. More specifically, it investigated the role of environmental concern and environmental knowledge as a mediator, in the organic cosmetics background. Data gathered from consumers in Tunisia (N = 736), Italy (N = 720) and France (N = 715) and analysed using a structural equation modelling approach. The findings revealed that green skepticism is a strong inhibitor towards adoption of organic cosmetic products among consumers in the three countries. On the other hand, findings revealed that environmental knowledge and environmental concern fully mediate the relationship between green skepticism and organic purchasing behaviour. The ultimate goal is to provide valuable insights for business leaders, policymakers and marketers fully understand consumers’ resistance to organic cosmetic products. Further, it offers a comprehensive framework to support strategies to reduce consumers’ skepticism towards organic products, in different market segments.

Pengaruh Literasi Keuangan Syariah terhadap Keputusan Nasabah dalam Memilih Cicilan Kendaraan Islami

This study aims to analyze the influence of Islamic financial literacy on customer decisions in choosing Islamic vehicle installments in Indonesia. Using a quantitative approach, a survey was conducted on several respondents in five major cities in Indonesia. The results showed that the level of Islamic financial literacy has a significant positive influence on customer preferences for choosing Islamic vehicle installments. Logistic regression analysis revealed that every one-point increase in the Islamic financial literacy score increases the odds of choosing Islamic vehicle installments by 4.9%. Demographic factors such as age, education, and income also have a significant influence. These findings highlight the importance of efforts to improve Islamic financial literacy as a strategy to encourage the adoption of Islamic financing products. Practical implications include the need for targeted education programs, improved product communication, and innovation in the development of competitive Islamic financing products.

Bluefin tuna sperm production is hastened by surrogacy in small Euthynnus

Pacific bluefin tuna (Thunnus orientalis) remains heavily depleted due to overexploitation. Aquaculture and stock enhancement based on artificial seedlings could be effective solutions to this problem. However, widespread adoption of seedling production is limited because spawning in captivity of bluefin tuna, a large pelagic top predator, requires much space, time, cost, and labour. To downsize and shorten their generation time, here, we show that xenogeneic germ cell transplantation enables a surrogate production of functional bluefin tuna sperm in hybrid little tuna (genus: Euthynnus), which attain sexual maturity at a smaller body size and shorter time. Intraperitonially transplanted bluefin tuna germ cells migrate towards and are incorporated into the gonads of little tuna larvae. These recipients produce functional donor-derived bluefin tuna sperm at a mere 8 months of age and 1 kg of body size. This result represents an advance toward compact, low-cost, and time-efficient seedling production that will improve the efficiency of bluefin tuna aquaculture.

Farmers’ Perception and Financial Profitability of Mustard Production in Bangladesh

The study was undertaken to assess farmers’ perception and explore the factors affecting farmers’ decision to adopt mustard production along with estimate financial profitability and identify potentials and problems of mustard production. Based on stratified random sampling, 120 farmers were interviewed using a structured questionnaire to collect primary data from different villages of Ullahpara upazila under Sirajganj district of Bangladesh. A combination of descriptive statistics, mathematical and statistical technique was used to analyze the data and to achieve the objectives. The study depicts that the highest number of the respondents (35%) belong to the 31-45 age group. Seventy two percent respondents were small farmers having land less than 1.0 hectare and they allocated 34% of their farm area for mustard production. Financial profitability analysis shows that mustard production was profitable on both variable cost and total cost basis and its benefit cost ratio (BCR) was more than one. In case of farmers perception, it was revealed that short duration crop, consumers’ preferences, product price, extension services and sharing of work among household members were the main driving factors for mustard production. Applying dichotomous logistic regression model, four factors namely, farmers’ age, number of family members, experience and farm size were found as significant determinants of adoption of mustard production. Large domestic market, limited use of high-yielding varieties, growing demand for mustard oil and attack of pests and diseases were found as important strength, weakness, opportunities and threats of mustard production, respectively. Finally, the study recommends that there are ample opportunities to enhance mustard production by ensuring access to quality seeds, adopting new technologies, securing fair prices, providing input subsidies, and improving institutional credit facilities with favorable terms and conditions. Bangladesh J. Nuclear Agric, 38(1): 65-80, 2024

Nudging towards sustainability: Exploring the role of behavioral interventions in circular bio‐economy development for the fashion industry

AbstractThe fashion and food industries are major contributors to waste generation, making sustainability management a priority for both practitioners and scholars. This study examines how nudging can promote the development of a circular bioeconomy within the fashion industry, specifically investigating whether nudging techniques can facilitate the market adoption of fashion products made from sustainable textiles derived from food waste. Using a dataset of 2112 participants from four European countries, we employ regression and clustering analyses to identify consumer profiles based on psychological and behavioral characteristics. Our econometric analysis reveals that gender, education, and psychological factors such as environmental responsibility and awareness significantly impact sustainable behaviors. Additionally, a left‐leaning political orientation is positively associated with engagement in sustainable practices and willingness to pay for eco‐friendly products. Clustering analysis identifies distinct consumer profiles: “enthusiastic” individuals demonstrate high commitment to sustainability, while “skeptics” shows low engagement and responsiveness to environmental issues. The study offers key policy implications on the effectiveness of nudging interventions in enhancing the sustainability of the fashion industry.

Exploring factors influencing the adoption of smart elderly care products: An enhanced UTAUT model analysis of smart wearables

This study investigates factors influencing elderly adoption of smart wearables. Using a modified Unified Theory of Acceptance and Use of Technology (UTAUT), it surveyed 395 elders. Structural equation modeling (SEM) analysis reveals positive impacts of facilitation, performance, and social influence on adoption, while cost and risk hinder it. Adoption intention mediates usage. The study emphasizes usability, functionality, social acceptance, and affordability in designing and marketing smart wearables for the elderly, aiming for broader acceptance and usage.

Cooperative performance and lead firm support in cleaner production adoption: SEM-fsQCA analysis of precision agriculture acceptance in Vietnam

To drive sustainable agricultural development, farmers in developing countries must prioritize adoption of precision agriculture (PA) as a cleaner production practice. This study investigates factors influencing smallholder rice farmers' behavioral intention (BI) to adopt such technology in Vietnam. Data from 568 farmers was analyzed using Structural Equation Modeling (SEM) and fuzzy-set Qualitative Comparative Analysis (fsQCA). This study makes a significant contribution to extending the Unified Theory of Acceptance and Use of Technology (UTAUT) by demonstrating the substantial positive influence of lead firm support on the intention to adopt PA technology. Also, a key novelty of this research is its exploration of the moderating role of cooperatives’ performance in enhancing the effects of external support factors, such as government and lead firms. Additionally, the fsQCA indicates that the combination of strong external support from the government, lead firms, and cooperatives can foster high adoption intentions even under challenging internal facilitating conditions. The findings may be generalized beyond Vietnam to other developing countries to offer insights for policymakers, cooperatives, and lead firms to improve agricultural efficiency and productivity.

Consumer Product Perceptions Within Emerging Markets: The Product Adoption Process and Consumer Ethnocentrism

The general acceptance of globalization and free trade across most national governments has led to the massive proliferation of foreign goods across the globe within the past few decades. As a result, the consumer adoption of imported products has been researched extensively; however, the bulk of these studies have focused on developed countries, leaving less developed and emerging countries vastly unexplored compared to their developed counterparts. Using Mexico to represent an emerging market with high levels of consumer ethnocentrism, this study examines the relationships among consumers’ attitudes toward imported products, their behavioral intentions, and consumer ethnocentrism within the product adoption process framework. The results provide evidence of positive direct effects of attitude and behavioral intention towards imported products. The hypothesis that the product adoption process leads to purchase intention was also supported; however, there was insignificant evidence to support the proposed moderating effect of consumer ethnocentrism upon this product adoption process and purchase intention relationship.

Correction: Exploring the factors driving AI adoption in production: a systematic literature review and future research agenda

Correction: Exploring the factors driving AI adoption in production: a systematic literature review and future research agenda

Cultural Evolution of Finance: A Study on Monetary Incentives and Financial Innovation

This study explores the cultural evolution of finance through the analysis of monetary incentives and their impact on financial innovation. Through an interdisciplinary approach, it investigates how financial practices have changed due to economic and cultural pressures, and how these changes have driven new forms of innovation in global financial markets. The results reveal that monetary incentives play a crucial role in the evolution of financial structures, promoting the adoption of new technologies and financial products that have transformed the global economy. This article highlights the importance of understanding the interplay between culture and finance in order to anticipate future trends in the industry.

A generalized product adoption model under random marketing conditions

A generalized product adoption model under random marketing conditions

Predictive Modeling and Forecasting of Solar Power Generation Using Machine Learning Techniques

The purpose of this research study is to investigate the predictive modelling and forecasting of solar power generation by utilising a variety of machine learning approaches. The paper addresses the significant obstacle that is presented by the variable production of solar energy, which is a barrier to the effective incorporation of solar power into the network of electrical power distribution systems. This research investigates the application of machine learning models such as Bayesian Ridge Regression, Gradient Boosting, and Linear Regression. The research makes use of historical meteorological data and solar power output to investigate the application of these models. The effectiveness of these models in estimating the amount of solar energy that will be produced under a variety of different weather situations is being investigated. Based on the findings, it is evident that the application of machine learning techniques has the potential to considerably improve the accuracy of solar power projections. This, in turn, will facilitate better grid integration and promote wider adoption of solar energy products. Through the demonstration of the potential of advanced machine learning approaches in enhancing the reliability and efficiency of solar power generation, this study makes a contribution to the expanding body of literature on the forecasting of renewable energy sources.