Drivers Of Adoption Research Articles

Evaluating the drivers of green supply chain management adoption in Iran's construction industry

PurposeThe construction industry contributes to economic development by providing physical equipment and infrastructures. However, it also generates some undesirable outputs such as waste and environmental pollution, especially in developing countries. Due to the importance of the green supply chain management (GSCM) philosophy, for solving these problems, the current study aims to evaluate the drivers of GSCM adoption in the construction industry of Iran.Design/methodology/approachThis research uses a descriptive and practical methodology. The participated experts in the study include senior managers of the construction department in Rasht municipality who had relevant academic education and suitable experiences in urban and industrial construction. The experts took part in both qualitative and quantitative phases of the research, namely verification of the drivers extracted from literature and ranking them in ascending order. In the quantitative phase, Step-Wise Weight Assessment Ratio Analysis (SWARA) as a new multi-criterion decision-making (MCDM) method is used to evaluate the drivers of GSCM adoption using MATLAB software.FindingsThe results show that environmental management systems, green product design and innovational capability with weights of 0.347, 0.218 and 0.143 are the most significant sub-drivers, respectively. The less important factor is an investment in environmental technology.Originality/valueThis study evaluated the motivational factors of GSCM in the construction industry. The findings help governments, companies and green supply chain (GSC) managers to improve their knowledge about GSCM and make the best decisions to decrease environmental pollution.

Adoption and impacts of improved post-harvest technologies on food security and welfare of maize-farming households in Tanzania: a comparative assessment

During the last decade, post-harvest losses (PHL) reduction has been topping the agenda of governments as a pathway for addressing food security, poverty, and nutrition challenges in Africa. Using survey data from 579 households, we investigated the factors that affect farmers’ decisions to adopt post-harvest technologies: mechanized shelling, drying tarpaulins, and airtight storage validated for reducing PHL in Tanzania’s maize-based systems, and the impacts on households’ food security and welfare. Mechanized shelling addressed a labor issue, while tarpaulins and airtight storage addressed product quality and quantity concerns. The results revealed large farm sizes and location in higher production potential zones (proxies for higher production scale) and neighbors' use of the technologies as universal drivers for adoption. Access to credit and off-farm income were unique determinants for airtight storage, while group membership increased the probability of adopting drying tarpaulin and airtight storage. The technologies have positive impacts on food security and welfare: drying tarpaulins and airtight storage significantly increased food availability (18–27%), food access (24–26%), and household incomes (112–155%), whereas mechanized shelling improved food and total expenditures by 49% and 68%, respectively. The share of total household expenditure on food decreased by 42%, 11%, and 51% among tarpaulin, mechanized shelling, and airtight storage adopter households, signaling significant improvements in food security and reductions in vulnerability. The results point to the need for policy support to enhance the adoption of these technologies, knowledge sharing among farmers, and financial resources access to support investments in the technologies.

Examining Adoption Drivers of Payments Bank Using Fuzzy Analytic Hierarchy Process Approach

Payments bank are a new addition to the family of digital payment services and are largely unexplored by the consumers. Hence there is a need to comprehend the underlying critical success factors that play a crucial role in the mass adoption of Payments bank. Further, to make Payments bank a standard digital payment option, converting imprecise information acquired from the respondents into key business insights is required. Hence, the present study aims to explore and prioritize the key factors responsible for the adoption of Payments bank. The study used the Fuzzy Analytic Hierarchy Process on the sample obtained from the northern region of India to identify the structure of the pertinent concerns and determine the criteria and sub-criteria of Payments bank services. Results of the study postulated that ease of use and facilitating conditions are the most prioritized factors. At the same time, personalization is ranked as the least preferred factor among all the factors. The present study sample is limited to a few parts of India, so generalizations of results should be made with caution. However, the current study strengthens the literature on Payments bank as it is one of the early studies in this area. Further, the insights generated by the study will help marketers and policymakers to pay broader attention to key parameters responsible for the success of Payments bank.

Why do consumers adopt smart voice assistants for shopping purposes? A perspective from complexity theory

The widespread appeal of Smart Voice Assistants (SVAs) stems from their ability to enhance the everyday lives of consumers in a practical, enjoyable, and meaningful manner. Despite their popularity, the factors that shape consumer adoption of SVAs remain largely unexplored. To address this research gap, we utilized complexity theory to construct an integrated model that sheds light on the determinants of consumer decision-making in regard to SVA adoption. Furthermore, we applied fuzzy-set Qualitative Comparative Analysis (fsQCA) to examine the proposed model and uncover the causal recipes associated with SVA adoption. Our necessary condition analysis highlights that perceived ease of use, perceived usefulness, perceived humanness, and perceived social presence are necessary predictors for consumers' intentions to adopt SVA. This study constitutes a significant addition to the existing literature by providing a comprehensive and nuanced understanding of the drivers of SVA adoption. Moreover, it offers crucial implications for online service provider managers to improve the adoption of SVAs among their customers.

A STUDY ON THE IMPACT OF E-COMMERCE ADOPTION FOR ENHANCING SUPPLY CHAIN EFFICIENCY IN BANGLADESH SMES

This study examines the impact of e-commerce adoption on supply chain efficiency in small and medium-sized enterprises (SMEs) in Bangladesh. The research aims to identify the factors influencing the adoption of e-commerce in SMEs’ supply chain operations, understand the challenges and barriers faced by SMEs in adopting e-commerce, and analyze the impact of e-commerce adoption on supply chain efficiency. A qualitative research design is employed, utilizing semi-structured interviews with SME owners and managers who have adopted e-commerce for their supply chain operations. The study highlights the importance of SMEs in Bangladesh’s economy and the growing significance of e-commerce in supply chain operations. Despite the rapid growth of Bangladesh’s e-commerce industry, the integration of e-commerce into SMEs’ supply chain operations is still in its early stages. Factors such as technological readiness, infrastructure availability, organizational culture, and external influences affect the pace of e-commerce adoption. The findings reveal that increased efficiency, cost savings, and improved customer experience are the primary drivers for e-commerce adoption. However, resistance to change, lack of technical skills, and security concerns pose challenges to adoption. Participants recommend training programs to enhance technical skills and foster a culture of change. Additionally, organizations should conduct thorough market research, seek customer feedback, and engage in discussions with supply chain partners to make informed decisions regarding e-commerce adoption. Investing in cybersecurity measures is crucial to address security risks. The study contributes to the existing literature on e-commerce adoption in supply chain operations, particularly in the context of developing nations like Bangladesh. It provides valuable insights for SMEs, policymakers, and researchers, emphasizing the need to carefully evaluate the benefits, costs, and risks associated with e-commerce adoption. Enhancing supply chain efficiency through e-commerce adoption can lead to improved competitiveness, cost reduction, and increased profitability for SMEs in Bangladesh.

Determinants of blockchain technology application in primary healthcare delivery: An integrated best-worst approach

Primary healthcare (PHC) has become a concern in most resource constraint economies particularly in the global south where meeting this important economic need has become a burden. Given this, blockchain technology (BT), a promising transformation in contemporary service delivery, has become an alternative for service-oriented institutions to meet their desired goals. In primary healthcare, BT has been utilised to lessen the burden on medical supply chain and data management. Nonetheless, the technology seems to be a preserve of the developed economies. In the global south, not only has the complexities of the technology hindered the implementation of the technology but the understanding of its affordances has also been nascent. This study extends Task-technology fit model with the perceived e-readiness model. Drawing on the best-worst method, this paper investigates PHC managers’ decision to embrace BT for PHC delivery in Ghana. The study finds that, in order of relevance, task-technology, infrastructure and individual characteristics are the main drivers of BT adoption and implementation. The study proposes the implementation of various strategies relevant to ensuring a sustainable BT for the management of PHC in resource constraint economies.

Hiding in plain sight: Exploring the complex pathways between tactical concealment and relational wellbeing

We argue that the current environment in higher education is one of the primary drivers for the widespread adoption of concealment tactics with the aim of enhancing wellbeing. To explore the relationship between concealment and wellbeing, we draw upon Scott’s conceptualization of “hidden transcripts” and Keyes’s five dimensions of social wellbeing. Using a collaborative ethnographic approach, we examine a 2-year period of individual and collective inquiry by an eclectic multidisciplinary, international group of academics. Our empirical and theoretical contributions expose a complex and, at times, seemingly contradictory relationship between tactical concealments and relational wellbeing, with variously generative and destructive pathways between them. Our research offers a lens through which we can critically explore and extend our understanding of alternative pathways to wellbeing in organizational life.

Social media data shed light on air-conditioning interest of heat-vulnerable regions and sociodemographic groups

Cooling homes with air conditioners is a vital adaptation approach, but the wider adoption of air conditioners can increase hydrofluorocarbon emissions that have high global warming potential and carbon emissions as a result of more fossil energy consumption. The scale and scope of future cooling demand worldwide are, however, uncertain because the extent and drivers of air-conditioning adoption remain unclear. Here, using 2021 and 2022 Facebook and Instagram data from 113 countries, we investigate the usability of social media advertising data to address these data gaps in relation to the drivers of air-conditioning adoption. We find that social media data might represent air-conditioning purchasing trends. Globally, parents of small children and middle-aged, highly educated married or cohabiting males tend to express greater interest in air-conditioning adoption. In regions with high heat vulnerability yet little empirical data on cooling demand (e.g., the Middle East and North Africa), these sociodemographic factors play a more prominent role. These findings can strengthen our understanding of future cooling demand for more sustainable cooling management.

Assisting artificial intelligence adoption drivers in human resources management: a mediation model

This study investigates the artificial intelligence (AI) adoption drivers and the mediating effects of trust and how the latter influence human resources management (HRM) of the banking sector in Saudi Arabia. A survey-based questionnaire was employed to collect data from 261 practitioners and professionals working in different banks in Saudi Arabia. Partial least squares structural equation modelling (PLS-SEM) was used to analyze data. Significant and positive effects of perceived usefulness and trust on artificial intelligence adoption in human resource management are highlighted by the results. In addition, the indirect effects of trust between perceived usefulness and AI adoption in human resource management were also found to be significant.

Drivers of, and Barriers to, the Adoption of Mixed Reality in the Construction Industry of Developing Countries

Mixed Reality (MR) that combines elements of both augmented reality (AR) and virtual reality (VR) has great potential for use in the construction industry. However, its usage in construction projects in developing countries has not been widely researched. This study aims to examine the major drivers of, and barriers to, the adoption of MR technologies (MRTs) in the construction sector of developing countries. A mixed methodology that included both qualitative and quantitative data analysis was used. The literature review revealed 37 barriers to, and 41 drivers of, MR adoption. A questionnaire was then distributed to 220 randomly selected respondents from the pertinent construction industry, representing all major stakeholders. The relative importance index (RII) was used to rank the barriers and drivers in terms of significance. The results showed that the primary barriers to MR adoption are the high cost of initial investment, public perception of the technology being immature, limited demand, and difficulty accessing relevant experts’ knowledge. The key drivers of MR adoption include improved project knowledge, reduced overall project costs, low-cost and realistic training scenarios, reduced damage and development costs, and enhanced user experience. These findings provide insights into the major barriers and drivers of MR in the construction sector of developing countries and will help pertinent companies to focus their research and development (R&D) efforts on overcoming these barriers and promote their adoption to move towards the much sought-after construction automation and digitalization.

Adopting Dr. Robot: Responses to competitor adoption of innovation

AbstractResearch SummaryHow do an organization's task requirements affect the ways in which it reacts to competitors' strategic investments? This study uses a novel measure of task requirements (Case Mix Index), to test the competitive and spillover effects of prior adoption on a focal organization's timing of adoption, while accounting for the underlying demand‐side drivers of adoption. Results of an empirical study of the adoption of robotic surgery systems by U.S. hospitals validate our measure as a predictor of the timing of adoption. Further, this measure moderates the effect of adoption by competitors, delaying investment in the technology for those hospitals most likely to adopt robotic surgery based on their patient population, while accelerating adoption for those with the lowest demand for the technology.Managerial SummaryWhen a nearby competitor adopts an important innovation, an organization may react by either imitating their strategy in order to stay competitive or deferring the choice to adopt the technology in order to differentiate and focus elsewhere. Which of these paths it decides to follow may be influenced by the type and difficulty of problems it handles for its customers (task requirements). Using the adoption of robotic surgery in the U.S. Hospital industry, we find that organizations that serve more difficult customer needs defer investment in response to a competitor's technology adoption, while those who address less difficult problems on average are likely to respond by accelerating adoption.

Blockchain adoption in agri-food supply chain management: an empirical study of the main drivers using extended UTAUT

PurposeBlockchain technology can overcome many complicated problems related to confidentiality, integrity and availability of fast and secure distributed systems in the agri-food supply chain. In emerging economies like India, blockchain application in the agri-food supply chain is still new, and their adoption is underdeveloped. This paper aims to investigate the drivers of blockchain technology adoption and their effect on the behavioral intention of stakeholders in adopting blockchain technology among various stakeholders in the agri-food supply chain. The study also develops a framework to enhance understanding of blockchain adoption in the agri-food supply chain as well as the stakeholders' motivation in seeking blockchain solutions.Design/methodology/approachConsidering the most significant aspects of blockchain adoption in the agri-food supply chain, this study attempts to develop an adoption model by using the extended unified theory of acceptance and technology model with interfirm trust and transparency as additional factors. Data was collected from a sample of 200 stakeholders in the North Indian state of Punjab. The empirical analysis was carried out using structural equation modeling in Smart PLS3.FindingsThe findings supported the developed framework and the results of SEM indicate that all the paths are supported. In particular, the findings of the study reveal that performance expectancy, effort expectancy, social influence, facilitating conditions, interfirm trust and transparency are the drivers of blockchain adoption and have a significant impact on the behavioral intention of stakeholders. Cumulatively, the results positively impact the performance of agri-food supply chain. From this study, it is found that the adoption of blockchain technology in agri-food supply chain enhances their performance.Originality/valueThe originality of the study lies in the developed framework, technology adoption will help them focus in the right direction by eliminating manual methods and converting the agri-food supply chain into a digitalization system.

Not just income: The enabling role of institutional confidence and social capital in household energy transitions in India

Transitioning to cleaner forms of cooking energy is a key facet of sustainable development. Despite numerous programs, the transition in developing countries remains slow and sometimes non-existent. Even when cleaner sources of cooking energy are adopted, their use is often temporary, with households continuing to use traditional energy sources. While literature identifies the importance of affordability and access, factors such as trust in local institutions and social capital remain under-explored. We aim to fill this gap by using household-level panel data to estimate drivers of clean cooking technology adoption and sustained fuel use in India. We add to the current scholarship on determinants of household energy transition by analyzing the relationship between household energy choices and institutional factors and social capital. We employ a logistic regression analysis to examine stove technology adoption, and complement it with an ordinary least squares model to measure factors that drive sustained fuel usage. The results indicate that participation in local community organizations and trust in local government is positively related to both adoption of stove technologies and expenditure on liquefied petroleum gas. Female education and membership in women-led networks also play an important role in driving fuel adoption. Policies aimed at promoting transitions to cleaner cooking fuels should, therefore, leverage community and social networks to promote sustained fuel use. Any national programs should be anchored in local contexts and involve local actors.

Cryptocurrency adoption and continuance intention among Indians: moderating role of perceived government control

PurposeThis study aims to investigate the influence of perceived government control (PGC) on cryptocurrency adoption and continuance intention among Indians through an integrated model of the extended Unified Theory of Acceptance and Use of Technology (UTAUT) with the Information System Success Model (ISSM).Design/methodology/approachThis study examined the items of cryptocurrency adoption, continuance intention and PGC adopted from the information systems and cryptocurrency literature. The survey was administered to 391 Indians through an online questionnaire. Partial least squares structural equation modeling was used to analyze data.FindingsResults have shown that social influence, effort expectancy and perceived trust are the major drivers for cryptocurrency adoption. All paths leading to cryptocurrency adoption were found to be significant in the hypothesized directions. The study also found that PGC moderates the relationship between adoption and continuance intention.Originality/valueThis study advances existing literature by empirically verifying the integrated UTAUT and ISSM in the context of cryptocurrency adoption for investment purposes. The findings offer crypto-developers and crypto-exchange insight into how adoption is diffusing in emerging markets. The findings provide policymakers with meaningful insights into the role of government regulations in cryptocurrency continuance intention.

The drivers of social procurement policy adoption in the construction industry: an Australian perspective

ABSTRACT The construction industry is the primary focus for social procurement policies in many countries. However, there has been little research into the drivers of social procurement policy adoption in this industry. To help address this gap in research, this paper reports the results of semi-structured interviews with fifteen social procurement professionals who are implementing social procurement into the Australian construction industry. Results reveal interesting historical parallels with the implementation of environmental sustainability initiatives. However, social procurement has yet to become normalized. There appears to be a high level of homogeneity in industry practice and while there is considerable scope for innovation, this is constrained by the prescriptive and ‘top-down' nature of social procurement policies in Australia which make it difficult for organizations to respond ‘bottom-up’ to actual community needs. It is concluded that the considerable untapped potential of social procurement policies to create social value currently depends on the intrapreneurial efforts of a small number of emerging social procurement professionals who are individually challenging the many institutional norms and practices which undermine the implementation of these policies into the construction industry.

Comparative Analysis of Building Information Modeling (BIM) Patterns and Trends in the United Arab Emirates (UAE) with Developed Countries

This research seeks to gain a deeper understanding of the current ecosystem of BIM technology and its utilization in the UAE. Since the UAE has been an early adopter of BIM, its utilization of BIM is now likely to reach that of developed nations. By adopting the BIM case study analysis framework, two sets of projects of similar categories in terms of functionality and typology were selected and mapped. One set represents projects within the UAE, and the second represents projects from developed nations utilizing BIM during the projects’ lifecycle (LC). Incorporating expert interviews to triangulate the results collected from the case study analysis will further contribute to developing a more in-depth comprehension of BIM use in the UAE. The three significant inferences can be drawn from the findings. Firstly, in the UAE, stakeholders utilize BIM fragmentarily in different stages. Secondly, the full extent of BIM utilization over the project’s LC is not pursued. Thirdly, no effective BIM standards or protocols exist. Even though international firms are the main drivers of UAE BIM adoption and utilization, UAE BIM is still in its infancy, necessitating a more collaborative effort to realize the holistic benefits of the BIM process. The findings could be utilized to identify industry standards and guiding principles for BIM implementation in the UAE and help identify areas for improvement. It also provides valuable insights into how BIM can be used more effectively in the country and how its use can be promoted. Additionally, it could be used as a guide for owners/asset managers and AEC professionals in the UAE looking to implement BIM in their projects.

MUSEUM STAFF KNOWLEDGE AND PERCEPTIONS AS DRIVERS FOR GREEN BUILDING EDUCATION IN SCIENCE MUSEUMS

ABSTRACT Green building practices are on the rise, as is research into the drivers of green building adoption and the impacts of green building on occupants. Stakeholder knowledge, organizational culture, and cost have been shown to drive decisions about green building adoption, and occupant outcomes have been studied in terms of behavior and satisfaction. However, there is little consensus about how to communicate green building features to the public—that is, how the drivers for adoption can be communicated to potential building occupants. In science museums, sustainable architecture can support organizational values and initiatives surrounding environmental sustainability, but few studies identify how those values can best be communicated to museum visitors in a green building. To begin to address this question, this research engaged eight LEED-certified museums across the U.S. to examine how the museums leveraged their buildings to educate visitors about green building technologies. Site visit documentation revealed a disparity in interpretation strategies across the museums. Interviews with museum staff illuminated both challenges and opportunities for green building education, where staff decision-making was based on their own understanding of green technologies and perceptions of audience interest, age, and politics. This work highlights the importance of institutional actors in green building messaging, with implications for how public buildings such as museums could operate as sites for green building education.

Applying the Surgical Checklist Approach for Psychiatric Trainees to a Busy, Time Sensitive Psychiatric Crisis Environment

IntroductionThe Jackson Hospital Crisis (Psychiatric ED) Center serves the entirety of Miami-Dade County in Florida and is considered one of the top three busiest and per capita of clinical staff likely the busiest nationally across the United States. Simultaneously, the management of mental health emergencies has ascended near the top of international priorities driven by multiple trends (e.g., growing social isolation associated with the pandemic, de-stigmatization). The crisis environment presents a uniquely difficult challenge in applying high quality medical care: frequent suicidal gestures, impulsive often intoxicated or psychotic patients, unprecedented demand, diminishing staff capacity, and requirements to consistently apply specific medical and psychiatric protocols. These challenges are specifically difficult for new trainees who are not yet accustoms to the high acuity situations found in psychiatry. Moreover, academic, institutional, and governmental policies change on a monthly, or even weekly basis, often with the objective of improving care. Nevertheless, such constant shifts in workflow result in opportunities for errors that impact patient trajectories.ObjectivesAs such we endeavored to apply an evidence-based approach to improving the likelihood of success. One such vetted approach, the use of checklists, benefits from 10+ years of peer-reviewed research in “operational” medical specialties (e.g., surgery, ED, ICU) where work is segmented around interventions or time-shifts which share commonalities with the Psychiatric ED model. Yet the difficulty in implementing such models is typically not in the “hard” aspects of defining the checklist, but in the “soft” implementation dimensions of syndication, distribution, and enablement in the context of the individual unique settings.MethodsWe developed a checklist that will be implemented on the Jackson Crisis emergency department, with the aim of having first year trainees complete the check list on each individual patient. Surveys were administered before implementation of checklist and will be distributed on a quarterly basis to trainees to evaluate for changes in resident confidence and clinical care.ResultsOver six months, we launched this initiative with drivers of adoption focused on accelerating and easing new resident training, safety incident targeting, and in the balancing of “push” top/down and “pull” bottom/up dynamics. Initial learnings include rapidly improving resident satisfaction as well as various other impacts currently being observed throughout the institution.ConclusionsOverall reception to the checklist has been positive from attendings and new trainees alike, further evidence will be analyzed and presented as the checklist is utilized throughout the psychiatric ED.Disclosure of InterestNone Declared

Drivers in Adoption of Urea Deep Placement Technology in Paddy Cultivation: An Empirical Study in Kalahandi District of Odisha, India

Effectively managing the nutrient has been an important challenge among the farmers and a concern to the environmentalist. Not innovation, but rather a diffusion of technology among the farmers is a crucial challenge. Urea deep placement (UDP) in paddy cultivation is an innovation by international fertilizer development corporations to reduce nitrogen loss and increase the use efficiency of urea. The study adopted the treatment effect model at two-stage to answer the following two research questions: (a) what are the drivers in the adoption of UDP technology among farmers in paddy cultivation; and (b) what is the effect of adopted technology on the output of paddy? The important drivers, in this regard, include land ownership, gender, extension services, off-farm income, membership of farmer groups & training attended, assured risk coverage, and irrigation. Moreover, farm size and the adoption of urea deep placement technology significantly influenced the output of paddy. Added to the economic benefit of the technology adoption, it also creates employment opportunities in preparing urea briquettes and transplanting them. The placement of a urea briquette reduces chemical leakage and pollutes the water. Along with the adoption of deep placement technology, it has induced farmers on adopting mechanization and proper water distribution and channelization on the paddy field. How to Cite: Nishith Ranjan Parida, Damodar Jena, Rabi Narayan Subudhi, Sasmita Samanta, Saswat Kumar Pani, Nibal Dibiat, 2023. "Drivers in Adoption of Urea Deep Placement Technology in Paddy Cultivation: An Empirical Study in Kalahandi District of Odisha, India." Journal of Agriculture and Crops, vol. 9, pp. 164-171.

Diffusion of climate-resilient seeds and information: evidence from semi-arid regions of Ghana

ABSTRACT This paper examines the drivers of climate-resilient seeds adoption among farm households and their corresponding spatial effects on farmers' neighbours adoption decisions in the semi-arid regions of Ghana, where the impacts of climate change on agriculture are marked. A spatial model was applied to a dataset elicited from farm households in addressing the research objective. The findings indicate the presence of peer or neighbourhood effects in the adoption and diffusion process . The findings also reveal that the socio-economic characteristics of the farm households, plot characteristics, drought condition and the source of information about the climate-resilient seeds influence farmers’ adoption and information diffusion. Finally, the findings imply that drought condition and information from model farmers generate the highest spatial spillover effects on farmers’ neighbours decisions to adopt.