Adoption Of Innovations Research Articles

Innovative Practices in Waste Bank Management at Citra Sentosa Mandiri

Waste management has become a critical issue in urban communities, necessitating innovative approaches for effective implementation. In Citra Sentosa Mandiri Housing, a waste bank initiative led by community leaders Mr. Agus Irwanto and Mr. Yanto exemplifies a successful model for fostering community engagement in waste management. Despite the growing interest in community-based waste management, there is limited understanding of the role of group communication in facilitating the diffusion of innovation within such contexts. This study aims to analyze communication strategies employed by waste bank activists to disseminate information and assess community adoption and participation in the waste bank program. Utilizing a descriptive qualitative research method and Miles and Huberman's interactive model for data analysis, findings reveal that effective group communication significantly enhances community participation and supports the adoption of waste management innovations. This research contributes to the literature by highlighting the crucial role of communication in transforming community perceptions of waste. The study underscores the importance of structured communication strategies in promoting sustainable waste management practices, providing insights for policymakers and community leaders seeking to implement similar initiatives in other urban settings. Highlights: Effective communication strategies enhance community engagement in waste management. Community leaders play a crucial role in driving waste bank initiatives. Structured communication transforms perceptions of waste within the community. Keywords: Waste Management, Group Communication, Innovation Diffusion, Community Participation, Sustainable Practices

Investigating the impact of the internet on managing green financial innovation and improving agricultural conditions in water-scarce Asian regions using ANN modeling

This research focuses on the importance of management strategies, green innovation, and sustainable practices in the agricultural sector. These factors are crucial for job creation, food security, and environmental conservation. Particularly in water-scarce regions, effective management is necessary to overcome natural resource constraints and encourage a shift towards digital agriculture (AGRI). The study aims to identify and analyze the challenges and issues related to agricultural research and technology in Asian countries. The collected data were analyzed using exploratory factor analysis in the SPSS software. The analysis revealed a range of issues and challenges for agricultural development, including those related to the structure and policy framework, the availability and quality of resources and infrastructures, and the provision of effective support services, all of which encompassed factors such as research and technology investment, research management, productivity, research culture, networking, and the integration of higher education and agricultural research. To estimate the efficiency of technology development, agricultural development, and support services for AGRI, an artificial neural network (ANN) was utilized. The ANN was trained by incorporating changes in management strategies, green innovation, and sustainability across a broader range of experimental scenarios. The evaluation of the ANN's predictions showed that improvements in management strategies and the adoption of green innovation and sustainability significantly impacted the productivity of technology development, agricultural development, and support services for AGRI. The accuracy of the ANN's predictions was further assessed using linear regression. The results indicated an acceptable level of error when compared to the target results obtained from experimental tests. Overall, this study emphasizes the importance of effective management, green innovation, and sustainable practices in driving advancements in technology and agricultural development.

How Innovation Systems Promote and Hinder Innovations in Healthcare - a Swedish Case

Healthcare organizations must remain up-to-date when healthcare systems are in constant flux. One way to meet challenges is through innovations. The aim of this study is to explore what promotes and hinders the implementation of innovation in healthcare's complex organizational environment. An innovation system was studied through qualitative interviews with nine respondents. The results show that the implementation and adoption of innovations in healthcare are complex. The complexity of the innovation determines the likelihood and speed of the adoption among healthcare professionals. Promoters such as human and financial capital were seen as critical for the sustainability of the innovation. Evaluating the innovation through scientific processes was also important to gain legitimacy and is seen as an important contribution to research. The identifying promoters and hindrances are practical implications to prompt reflection on healthcare innovations among managers and healthcare professionals.

Leaders and Managers Key Characteristics and Open Innovation Adoption in SMEs: Systematic Review and Future Directions

Existing literature provides limited insights into the role of individual actors and the human side of Open Innovation (OI) adoption in SMEs. Additionally, there is a lack of studies that systematically consolidate and analyze the publications addressing this specific topic. This research aims to fill this gap by pursuing three main objectives: firstly, to review the influence of SME leaders and manager's characteristics on the adoption of OI; secondly, to identify the characteristics of leaders and managers of SMEs and their leadership styles when adopting OI; and lastly, to explain their role in promoting OI. A total of 43 peer-reviewed articles published in reputable scientific journals from 2003 to 2022 were examined. This study classifies manager's characteristics that contribute to the effective implementation of OI within SMEs into three categories: demographic characteristics, personal characteristics, and managerial characteristics. This review contributes to prior research by outlining a leader and manager profile that leads to the successful implementation of OI in SMEs. The article concludes with theoretical and practical contributions and suggestions for potential directions for future research.

Structural Changes in Haryana Agriculture

The present investigation was carried out for Haryana state for the period 1970-2021. Economic growth has been defined as a structural transformation process in which the contribution of industry and services sectors increased and agriculture's relative proportion of national production decreased. Statistical averages, percentages and CAGRs, were computed. Sectoral labor shares, capital formation, and sectoral output composition are the chosen metrics to evaluate structural change in the state. Agricultural performance was evaluated using key indicators of development, such as crop yields, cropping intensity, irrigation intensity, tractor density, and fertilizer consumption. Although Haryana is primarily an agricultural state, it has also seen significant growth in the industrial and service sectors. The main conclusions indicate that Haryana's structural changes align with those of India's national economy. However, the agricultural sector requires greater focus from policymakers to encourage the adoption of new farming innovations.

Understanding communication and stakeholder learning process affecting sustainability in multi-stakeholder platforms: The case of a Learning Alliance in Vietnam

A Learning Alliance (LA) is a multi-stakeholder approach widely used by research organizations to provide a platform for technology or innovation adoption. It heavily relies on communication among varied and interacting stakeholders with shared interests. Thus, it is important to understand how these interactions play a role in forming and sustaining the network. Using the case of a LA in Can Tho province, Vietnam, we analyzed the communication processes generated in the interactions through document analysis of project materials, focus group discussions, key informant interviews with the LA facilitators, and observation notes from eight LA events. Findings reveal that communication underlies network development and maintenance. It facilitated the alignment of stakeholders’ interest and reorganization of roles, particularly when stakeholders played an intermediary role in facilitating the LA. The network also explored inclusive strategies to upgrade the rice value chain. However, challenges arose due to communication breakdown related to the strategic positioning of the LA in the broader innovation system. Furthermore, with the network's reliance on the lifespan of bilateral projects led by research institutions, hindered its long-term success. While LA foster negotiated change and inclusivity, more reflections are needed on mechanisms for local uptake, deliberate planning, and enhancement of communication roles to support the learning processes of a LA so that the network can be intentional in pursuing desired change addressing emergent challenges.

How women circumvent systemic constraints: Patriarchy’s extension to the adoption of digital government innovations

This study investigates the significant influence of patriarchy on the potential acceptance and use of local digital government innovations in resource-constrained countries, building on studies that highlight patriarchy’s impactful role in shaping innovation. The Unified Theory of Acceptance and Use of Technology (UTAUT) was adopted as the evaluation theory (n= 270) using Ethiopia as a case study. The results from structural equation modeling (SEM) reveal that patriarchy moderates the relationship between facilitating conditions and usage behavior. Contrary to conventional assumptions, we found that despite facing systemic barriers, women demonstrated higher engagement levels with the local digital innovation compared to their male counterparts, even when they did not perceive direct job-related benefits. This revelation not only challenges prevailing gender stereotypes but also underscores the resilience of women in circumventing patriarchal constraints. The study significantly contributes to theory by contextualizing the UTAUT model within a patriarchal framework, bringing out how societal norms and gender dynamics shape technology adoption in public sector settings. Practically, our findings advocate for gender-sensitive policies and interventions to bridge digital divides, emphasizing the need for inclusive strategies that account for underlying societal structures. By providing empirical evidence from a resource-constrained setting, this research offers important insights for policymakers, practitioners, and researchers aiming to foster equitable digital engagement and harness the full potential of digital government innovations.

Possibility of the optimum monitoring and evaluation (M&E) production frontier for risk-informed health governance in disaster-prone districts of West Bengal, India

An efficient M&E system in public healthcare is crucial for achieving universal health coverage in low- and middle-income countries, especially when the need for service remains unmet due to the exposure of the population to disaster risks and uncertainties. Current research has conducted exploratory and predictive analyses to estimate the determinants of sustainable M&E solutions for ensuring uninterrupted access during and after disasters. The aim was to estimate the efficiency of reaching a higher M&E production frontier via the Cobb‒Douglas model and stochastic frontier model as the basic theoretical and empirical frameworks. The research followed a deductive approach and used a stratified purposive sampling method to collect data from different layers of health and disaster governance in a flood-prone rural setting in the Malda, South 24 Parganas and Purulia districts in West Bengal, India. The present mixed-method study revealed multiple challenges in healthcare seeking during disasters and how a well-structured M&E system can increase system readiness to combat these challenges. The stochastic frontier model estimated the highest M&E frontier producing the most attainable M&E effectiveness through horizontal convergence between departments, enhanced coordination, the availability of frontline health workers at health centers, the adoption of learned innovation and the outsourcing of the evaluation component to external evaluators to improve M&E process quality. Although the study has several limitations, it shows the potential to increase technical and allocative efficiency through building skills in innovative techniques and applying them in process implementation. In the future, research on strategy improvement followed by real-world evidence-based policy advocacy is needed to increase the impact of M&E on access to healthcare services.

Intention to adopt mobile payment during the COVID-19 pandemic

PurposeThe main purpose of this research study is to investigate and examine the factors that might influence the intention to adopt and use mobile payment and their relationships during the COVID-19 pandemic.Design/methodology/approachThis research study used both mobile payment adoption literature, The Technology Adoption Model and Unified Theory of Acceptance and Use of Technology, to propose a conceptual framework for mobile payment adoption. Quantitative method is used in which 306 participants responded to an online survey to validate the proposed conceptual framework.FindingsThe introduced integrated model embraced perceived risk, transaction transparency, mobile payment usefulness, social influence, performance expectation as independent variables and usage continuation intention to adopt mobile payment as the dependent variable. The results from data analysis have statistically revealed significant relationships and a positive impact of perceived risk, mobile payment usefulness, social influence and performance expectation. Also, the results identified a negative impact for the transaction transparency factor. As this research study is conducted at a later stage of the COVID-19 pandemic, it adds value to the existing literature by providing insights to business managers on the factors influencing mobile payment usage and other implications related to increasing the market potential for businesses in the new normality of the coronavirus pandemic.Originality/valueThis paper offers a combination conceptual framework of mobile payment adoption based on a literature review on mobile payment adoption from information systems perspective. It adapts integrated model to establish a more comprehensive innovation adoption framework for mobile payment.

Navigating psychological barriers in agricultural innovation adoption: A multi-stakeholder perspective

Agricultural innovation is pivotal for enabling cleaner production within the sector. Nonetheless, smallholder farmers in the Global South encounter functional and psychological challenges impeding innovation adoption efforts. Existing literature tends to narrowly focus on common barriers associated with individual innovations, often limiting the broader significance of psychological hindrances. This study takes a unique approach by delving primarily into the realm of psychological barriers, encompassing internal challenges that impede adoption, and explores external support strategies to overcome such hindrances. A multi-stakeholder approach was employed to gather validated insights based on data from eighteen semi-structured interviews involving rice farmers and agricultural technology companies. Research findings revealed that trust, effort, attitudinal, and normative barriers are prominent psychological hindrances to innovation adoption. To this effect, pertinent enabling factors and overcoming strategies should demonstrate clear benefits, infuse trust, reduce effort requirements, and develop human capital. This research is among the first to demystify and categorise psychological barriers and corresponding overcoming strategies into an integrated framework. The resulting framework allows for a novel and comprehensive analysis of the potential strategies to overcome the psychological barriers collectively, a complex issue involving interrelations and hidden dynamics that are challenging to explore otherwise. This study contributes to the Innovation Resistance Theory through its application within the context of smallholder farmers and leads to implications to expedite the transformation towards a more sustainable and innovative agriculture sector.

PSXII-15 Theory of planned behavior-based evaluation of technology adoption in dairy farms

Abstract Studies on the adoption of farm innovations should include underlying psychological constructs that affect decisions and behavior of farmers such as intention, perceptions, and beliefs. Dairy farming technologies are continually evolving, making it necessary to review current farm practices frequently. Dairy farmers are actively exploring various alternative investment options to optimize production processes, minimize costs, and increase overall efficiency. However, careful evaluation is crucial to understanding the knowledge and attitude of farmers to these tools. We utilize psychological constructs from the theory of planned behavior approach to understand the technology adoption behavior of dairy farmers. The theory of planned behavior is a psychological model that explains how human behavior is influenced by attitudes, subjective norms, and perceived behavioral control. We add product marketing as another essential component based on the industry relevance. The objective was to understand the adoption decisions and the perceived usefulness of precision technologies by dairy farmers in Texas. Dairy farmers were delivered printed copies of a pretested survey instrument to assess technology use, on-farm decisions, and producers’ planned behavior related to technology adoption on farms. Thirty-two completed surveys were returned and analyzed for descriptive and Structural Equation Modeling using Microsoft Excel and SAS (ver. 9.4). When choosing a technology, respondents ranked (on a scale of 1 to 5; unimportant to very important) the availability of local tech support as the most important factor (score 4.16; range 3 to 5), followed by proven performance through research (4.0; 3 to 5), simplicity of use (3.82; 3 to 5), benefit to cost ratio (3.66; 2 to 5), and total cost of investment (3.5; 1 to 5). Regarding barriers to investment decisions, 26% ranked lack of access to capital as a primary issue, followed by environmental regulations (12.5%), political environment (12.5%), and sitting regulations (12.5%). The intention of farmers to utilize the technology was influenced by farmers’ evaluation of the use of technology (attitude), their perceptions about the social pressure and marketing (subjective norm), and their perceptions about their utility on farmers (perceived behavioral control). The three most influential behavioral beliefs as the drivers of attitude were an increase in farm production and performance, monitoring cows, and labor savings. The three most influential normative beliefs were drivers of the subjective norm: family and friends, neighbors, and marketing. The three most influential control beliefs were drivers of perceived behavioral control: availability of local tech support, benefit-to-cost ratio, and simplicity and ease of use. Respondents indicate that having a standard price, reduced cost, and providing a detailed cost analysis when marketing the technology increases confidence in purchasing and integration. The findings suggest developing better products, ensuring reasonable pricing, and performing proper validations to enhance the farmer’s trust helps to increase technology adoption in dairy farms.

Prioritizing factors for generative artificial intelligence-based innovation adoption in hospitality industry

Prioritizing factors for generative artificial intelligence-based innovation adoption in hospitality industry

The fourth industrial revolution and the future of work: Reasons to worry and policies to consider

AbstractA striking feature of the contemporary U.S. economy is the widespread adoption of technologies associated with the 4th Industrial Revolution (IR) including sensors, industrial robotics, artificial intelligence, and machine learning. Empirical work investigating the labor market impacts of 4th IR technological advances reveals they are skill‐biased, primarily advancing job opportunities for those with high levels of formal of education, unlike prior industrial revolutions that were skill neutral. This paper explains how the 4th IR has fostered job polarization, greater technological unemployment, and increasing wage inequality. Moreover, we delineate why these developments are worrisome and likely to expand over time. We assert that policy intervention to promote reinstatement of technologically unemployed persons is warranted, because displacement of labor caused by automation creates negative externalities. Consequently, we provide an example of how tax policies could be used to curtail technological unemployment—without creating hurdles for the adoption of 4th IR innovations. We advance and describe a new, innovative way, for fiscal policy to foster employment opportunities for those at greatest risk of job loss through automation. The initiative entails government subsidies to promote the provision and acquisition of skill certificates that employers view as complementary with 4th Industrial Revolution Technologies.

Examining attitudes to uptake and sustainment of technology among care aides in the delivery of care: a scoping review protocol

IntroductionCare aides are health workers who deliver hands-on care to patients across the healthcare continuum. The use of technology in healthcare delivery is increasing, and evidence regarding how care aides’...

Linking Transformational Leadership and Green Innovation Via Employee Performance

Abstract The main purpose of the existing study is to present the mediating influence of employee performance on the relationship between transformational leadership style and green innovation. This study conducted in the hotel sector in Amman, Jordan, where exploratory studies related to the hotel sector are limited. A total of 20 five-star hotels in Amman were involved in the research sampling process, targeted respondents were employees with titles below supervisor level (rank-and-file) were those employees who provide the services and are in direct contact with customers, and a simple random sampling was utilized to gather the data, 359 employees participated in this study, and survey form was sent to heads of departments at the targeted hotels to help in the distribution process. The data was analyzed using Smart-PLS software. The results showed a partially positive mediation of employee performance among both constructs of individualized consideration and intellectual stimulation of green innovation in the hotel sector. Moreover, these results proved the power of the relationship between employee performance and the adoption of green innovation. The current study contributes positively to the area of hospitality industry studies and its related activities. It provides better insights for hotel leaders on improving the adopted leadership styles, leading to outstanding employee performance, and green innovation to sustain market competitiveness and provide exceptional and innovative services for a better hospitality industry.

Model of resilience strategies of small and medium-sized tourism enterprises post pandemic crises in marine-based destination

This study investigates the resilience strategies employed by small and medium-sized tourism enterprises (SMTEs) in Tanjung Bira, a marine-based destination in South Sulawesi, Indonesia, to cope with the impact of the COVID-19 pandemic. Duchek's Model of resilience, which conceptualizes resilience as a meta-capability composed of three stages (anticipation, coping, and adaptation), is used as a key framework. An exploratory qualitative approach was employed, involving in-depth semi-structured interviews with seven informants representing various tourism stakeholders. Thematic analysis revealed several main strategies for SMTE resilience: collaboration with stakeholders, government intervention, implementation of digital marketing, strengthening SMTEs legality, and strengthening/diversification of SMTE products. Mapping these strategies onto Duchek's Model, the anticipation stage included strategic planning, risk assessment, and building dynamic capabilities; the coping stage consisted of immediate financial measures and policy support; and the adaptation stage involved diversification, technology and innovation adoption, and collaboration and networking. A key implication is that destination management organizations should create innovative products and leverage online platforms for marketing to increase visitor arrivals and boost SMTE product sales. The findings contribute to understanding SMTE resilience in the context of a marine-based destination in Eastern Indonesia and provide insights for policymakers and practitioners to support SMTE recovery and long-term sustainability post-pandemic.

Towards a Sustainable Future: Examining the Symmetric and Asymmetric Effect of Unstable Macroeconomic Factors on Initial Public Offerings Variability

The research seeks to explore the symmetric and asymmetric effects of renewable energy, technological innovation, and ecological footprint on the variability of initial public offerings in the unique institutional setting of the Pakistani IPO market. The study used yearly data on the Pakistani IPO market and the macroeconomic variables from January 1992 to December 2020. Further, the study employed the linear and Non-Linear ARDL to investigate the symmetric and asymmetric nexus among variables. For that purpose, the stationarity of the variables was predetermined using Augmented Dicker Fuller (ADF) and Phillips Perron (PP) unit root tests. Additionally, the F-bound test verifies that IPO issuance and macroeconomic drivers are co-integrated. The findings show a symmetric and asymmetric relationship between IPO variability and macroeconomic variables under study. Renewable energy and technological innovation have statistically positive effects on IPO variability. On the contrary, the ecological footprint has a significantly negative impact on IPO variability. The weak condition of the Pakistani IPO market could be attributed to the slow adoption of technological innovation, the transition to renewable energy, and a high ecological footprint that attracts stringent regulatory and environmental compliance costs of going public.

The water–energy–food–ecosystem nexus in North Africa dryland farming: a multi-criteria analysis of climate-resilient innovations in Morocco

Smallholder farmers, who mostly engage in low-value agriculture in the drylands of Northern Africa, were the first to have felt the effects of climate change, with threats to their livelihoods and food security. The increasing costs of agricultural production, poor water and energy infrastructure, loss of agricultural land due to urban expansion, fragmented resource management, and unsustainable management practices all contribute to this vulnerability to climate change. This highlights the urgent need for innovative practices in farming systems. Within the framework of the water–energy–food–ecosystem nexus, this paper explores innovative practices in dryland farming systems, by assessing their impact on water, energy, food, and ecosystem through stakeholder perception. In this work, we aim to present a systems approach for assessing the resilience of the water–energy–food–ecosystem nexus in arid and semiarid regions. By using a multi-criteria analysis (MCA) approach, the study—which focuses on the Fès–Meknès region in Morocco—involves local actors to help researchers identify the key variables in order to assist farmers in their adaptation to climate change. The findings revealed different priorities between farmers and other stakeholders regarding the adoption of agricultural innovations. Farmers prioritize innovations that guarantee higher profitability and more market opportunities, such as integrating olive trees with cereal crops, by highlighting the importance of sustainable income sources. Meanwhile, stakeholders, such as researchers, engineers, government officials, and agribusiness entrepreneurs, prioritize innovations that emphasize high water use efficiency, which is crucial for the resilience of dryland farming areas: for instance, rainwater harvesting or the use of drought-resistant crop varieties that directly address the need for water conservation. But in doing so they are overlooking broader aspects within the water–energy–food–ecosystem nexus.

Forced Adoption of Innovations: The Case of Consumer Behavior with Food Warning Labels in Mexico

On March 27, 2020, an amendment to the Official Mexican Standard NOM-051 was published in the Official Gazette of the Federation. The amendment addresses general labeling specifications for food and non-alcoholic beverages. The new regulation introduces three significant changes, which came into force on October 1, 2020. These are warning labeling, nutrient profile, and persuasive elements on the packaging. This study assesses the impact of the regulation on the consumer at three levels: the extent to which consumers understand the five labels, their perception of the image of the product categories and companies, and the potential for shifts in consumption patterns. Similar regulations have been implemented in some other Latin American countries, such as Chile and Ecuador, but the results thus far are inconclusive concerning the actual impact of a long-term change in consumer behavior. With respect to studies conducted in Mexico, this research represents a pioneering investigation into the subject matter. A survey comprising 14 questions was administered, to elucidate the respondents' perceptions and attitudes. The survey was conducted online through convenience sampling with the Google Forms tool. The study was conducted on a sample of 210 individuals, comprising both male and female participants aged 18 and above, who were consumers of mass-produced products that were subject to the provisions of NOM-051. The findings indicate that the majority of respondents lacked clarity regarding the significance of the five black labels on the packaging. Furthermore, the new regulation did not exert a considerable influence on their consumption of processed foods and non-alcoholic beverages. It is anticipated that this research will serve as a reference for companies, government entities, marketing professionals, academics, and all those with an interest in the subject, given that it demonstrates notable findings in several aspects of the regulation's implementation, slightly over a year after its enactment, and the consequences it has had on Mexican consumers and their consumption habits.

How position in the network determines the fate of lexical innovations on Twitter

This study analyzes the diffusion of lexical innovations on Twitter to understand how the social network position of adopters impacts their success. Looking at both successful and failed neologisms, we categorize them into "changes" which become established and "buzzes" which decline over time. Using a corpus of 650 million French tweets, we reconstruct user networks and characterize adopters of innovations during different diffusion phases based on prestige, centrality, clustering, and external ties. In the early innovation phase, change and buzz adopters have similar peripheral profiles. During propagation, changes spread to prestigious, central individuals while buzzes do not, which predicts their eventual success or failure. By the establishment phase, changes reach highly central users with closer external ties. The results align with sociolinguistic theories about weak ties for innovation and strong ties for establishment. Additionally, logistic regression models based on early adopter profiles can predict the fate of innovations. This work sheds light on the diffusion dynamics of online lexical innovations and the crucial role of user network factors.