Adoption Of Innovations Research Articles

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.

Towards a Holistic Understanding of Green Innovation Adoption: A Systematic Review of Determinants, Barriers, and Outcomes

Towards a Holistic Understanding of Green Innovation Adoption: A Systematic Review of Determinants, Barriers, and Outcomes

The Impact of Strategic Project Management on the Success of Construction Projects in the Contracting Sector in Riyadh

This study aimed to identify the impact of strategic management on the performance of construction projects in Riyadh. The impact was examined across dimensions including environmental analysis, strategy formulation, strategy implementation, and strategy evaluation, and measured against project efficiency, adoption of innovation, and sustainability. The research employed a descriptive and analytical approach, reviewing relevant Arabic and foreign references to establish theoretical foundations. Additionally, a field study was conducted through the distribution of questionnaires to construction project managers in Riyadh, Kingdom of Saudi Arabia. A total of 394 individuals participated in the study using a simple random sample method for data collection. The research yielded several key findings, indicating a high level of success in construction projects, with a strong positive correlation between strategic project management and project success in the Kingdom. Strategic project management was found to explain 78.9% of the changes in project success, with an increase of 1% in strategic project management correlating to a 0.391% increase in professional project success. However, the main hypothesis of the study was found to be invalid. Based on the results, recommendations were made, including the adoption of project management methods integrating strategic aspects and the encouragement of companies to implement continuous improvement of strategic project management practices to enhance long-term competitive capabilities.

Networks and identity drive the spatial diffusion of linguistic innovation in urban and rural areas

Cultural innovation (e.g., music, beliefs, language) tends to be adopted regionally. The geographic area where innovation is adopted is often attributed to one of two factors: (i) speakers adopting new behaviors that signal their demographic identities (i.e., an identity effect), or (ii) these behaviors spreading through homophilous networks (i.e., a network effect). In this study, we show that network and identity play complementary roles in determining where new language is adopted; thus, modeling the diffusion of lexical innovation requires incorporating both network and identity. We develop an agent-based model of cultural adoption, and validate geographic properties in our simulations against a dataset of innovative words that we identify from a 10% sample of Twitter (e.g., fleeky, birbs, ubering). Using our model, we are able to directly test the roles of network and identity by comparing a model that combines network and identity against simulated network-only and identity-only counterfactuals. We show that both effects influence different mechanisms of diffusion. Specifically, network principally drives spread among urban counties via weak-tie diffusion, while identity plays a disproportionate role in transmission among rural counties via strong-tie diffusion. Diffusion between urban and rural areas, a key component in innovation spreading nationally, requires both network and identity. Our work suggests that models must integrate both factors in order to understand and reproduce the adoption of innovation.

Adoption of cashless economy in Bangladesh

Bangladesh has seen significant strides in technological developments that have positively affected its GDP. Different modes of financial transactions, such as mobile banking, and credit and debit cards, have proven beneficial for the economy. bKash, Nagad, and other online transaction platforms are widely used by the population of Bangladesh. People, starting from Dhaka to many other rural areas of Bangladesh, are gradually becoming habituated to the digital mode of payment. The case thoroughly analyzed and highlighted the concept of a cashless society and showed how technological advancements in financial services can contribute to broader sustainability goals, including carbon-reduction. Moreover, the case presented three different scenarios on Bangladesh’s devotion towards going cashless. Additionally, the case utilized the diffusion of innovation (DOI) theory, to identify the different categories of innovation adopters, and elucidated their traits in the context of adopting a cashless economy.

Comparative Study of Management Information Systems in Cement Companies in Southeast Nigeria, South Sulawesi, Kenya

This study explores the impact of Management Information Systems (MIS) and technological innovations on the performance of cement manufacturing firms in Southeast Nigeria, South Sulawesi, and Kenya. This study examines the use of management information systems in the cement industries of Southeast Nigeria, South Sulawesi, and Kenya using a literature review methodology. Through a comprehensive literature review of three key journals, the findings reveal a significant positive correlation between the use of decision support systems, transaction processing systems, and executive support systems, and the enhancement of corporate performance. In Southeast Nigeria, these systems increased firm performance by 0.321, 0.496, and 0.501 respectively. Impact of information technology on agency capacity in the cement industry in South Sulawesi. The effect of information technology on body skills is 0.267 and p-value 0.025, it has a significant effect on the statement, which proves that information technology has a direct effect on the body. They have the ability to support movement. In Kenya, the adoption of strategic and technological innovations notably improved sales volumes, operational efficiency, and cost reduction, with a mean aggregate score of 4.12 from surveyed department heads. The findings underscore the importance of strategic innovations tailored to specific industry needs and the necessity of training programs to equip employees with essential technical skills. This research provides actionable insights for cement firms aiming to enhance their competitive edge and achieve sustainable growth in a dynamic global market.

Stakeholder Insights: A Socio-Agronomic Study on Varietal Innovation Adoption, Preferences, and Sustainability in the Arracacha Crop (Arracacia xanthorrhiza B.)

Arracacha, a root crop indigenous to the Andean region of South America, holds significant agronomic and socio-economic importance in Colombia. The study aims to evaluate the impacts of adopting the ‘Agrosavia La 22’ variety on agricultural sustainability and productivity, encompassing economic, environmental, and social dimensions. Additionally, it analyzes the preferences of farmers and other stakeholders regarding the sustainability of the introduced technological innovations. Conducted over three years (2021–2023), the study offers comprehensive insights into adoption trends and stakeholder perceptions. Utilizing the Ambitec-Agro methodology, the research assesses the environmental, social, and economic impacts of ‘Agrosavia La 22’. Data collection involved field observations and interviews with farmers and key actors in the arracacha supply chain. Results indicate a substantial increase in the cultivated area from 1500 hectares in 2021 to 2650 hectares in 2023, with the proportion of total cultivated area rising from 47.6% to 84.1%. Economically, ‘Agrosavia La 22’ demonstrated significant input cost savings, reducing costs by USD 347 per hectare by 2023 and enhancing producer surplus from USD 30.95 to USD 651.16 per hectare. Yield comparisons show higher median yields for ‘Agrosavia La 22’ (20 t ha−1 in 2023) compared to traditional varieties (12.5 t ha−1). Socially, there was a marked improvement in farmers’ income perceptions, and environmentally, there was a reduction in greenhouse gas emissions (324.05 kg CO2-eq ha−1) due to optimized fertilizer and pesticide applications. Eco-efficiency (EE) analysis shows that ‘Agrosavia La 22’ consistently demonstrated positive EE values, indicating economic viability alongside lower GHG emissions. In 2021, its EE stood at 2.2 USD/kg CO2-eq, increasing to 27.75 USD/kg CO2-eq by 2023, reflecting substantial economic gains relative to environmental impact. Conversely, the traditional variety initially exhibited lower EE due to high GHG emissions. Challenges such as soil quality decline and market price volatility were noted. Overall, the findings underscore the economic, social, and environmental benefits of ‘Agrosavia La 22’. Furthermore, the methodology used in this study can be applied to the evaluation of other varietal innovations in developing countries with limited resources for assessing agricultural technology impacts.

Exploring the individual adoption of human resource analytics: Behavioural beliefs and the role of machine learning characteristics

The technological capabilities of Human Resource Analytics (HRA), enhanced by recent innovations in Machine Learning (ML), offer exciting opportunities. However, organisations often fail to realise these potentials because of a limited understanding of why individuals choose to adopt or disregard respective tools. Prior research on innovation adoption offers preliminary insights but fails to aggregate the determinants of individual adoption into actionable suggestions for decisions in the ML adoption process. Our study applies focused interviews to examine non-ML experts' reasoning for using a specific tool tailored to a public sector organisation, which corresponds to the usual end-user perspective of ML-based HRA adoption. By drawing from the HRA adoption framework, provided by Vargas et al. (2018), we contribute to the literature by identifying relevant beliefs and experiences influencing one's intention to adopt ML-based HRA and by qualitatively linking these beliefs to ML characteristics such as transparency, automation and fairness. For practitioners, we provide actionable guidance emphasising the need to ensure fairness proactively, as interviewees do not consider this aspect when deciding to adopt ML-based HRA.