Technical deployment of aggregator business models

The proliferation of Distributed Energy Resources (DERs) is paving the way for new energy-efficient services that aim to make end-users more active. According to the literature, these services will be managed by a central figure, aggregators. This paper proposes several business models to accommodate them in the electric power industry. Several potential alternatives are identified from the study of different design elements, such as the control strategy, architecture, and signals that need to be exchanged. These alternatives are then tested by analyzing pairwise relationships between all the actors involved (Aggregator-Prosumers, Aggregator-DSO, and Aggregator-TSO). Every business model is first explained individually, including how contracts would operate, in order to determine their advantages and drawbacks. Finally, a comparison of all the alternatives is put forward together with an overview of the main initiatives that have already been implemented.

Trigeneration based on the pyrolysis of rural waste in India: Environmental impact, economic feasibility and business model innovation

Pyrolysis-based waste-to-bioenergy development has the potential to resolve some of the major challenges facing rural communities in India such as poor electrification, household air pollution, and farmland degradation and contamination. Existing understanding and analysis of the economic feasibility and environmental impact of bioenergy deployment in rural areas is limited by parameter uncertainties, and relevant business model innovation following economic evaluation is even scarcer. This paper uses findings from a new field survey of 1200 rural households to estimate the economic feasibility and environmental impact of a pyrolysis-based bioenergy trigeneration development that was designed to tackle these challenges. Based on the survey results, probability distributions were constructed and used to supply input parameters for cost-benefit analysis and life cycle assessment. Monte Carlo simulation was applied to characterise the uncertainties of economic feasibility and environmental impact accounting. It was shown that the global warming potential of the development was 350 kg of CO2-eq per capita per annum. Also, the survey identified a significant mismatch between feedstock prices considered in the literature and prices asked for by the surveyed villagers. The results of the cost-benefit analysis and life cycle assessment were then applied to propose two novel business models inspired by the Business Model Canvas, which had the potential to achieve up to 90 % economic profitability and result in a benefit-cost ratio of 1.35-1.75. This is the first study achieving combined environmental and economic analysis and business model innovation for rural bioenergy production in developing countries.

Problem exploration for creating value propositions when developing point-of-care solutions

Point-of-care (POC) testing has been increasingly proposed as one of the most promising solutions for improving healthcare provision as it enables fast and accurate testing both inside and outside hospital settings. Many of these POC device stem from academic research. Yet, the commercialization of these devices through academic spin-offs is not straigthforward. Many academic spin-offs fail due to an inproperly articulated value proposition. To create a value proposition with biosensors it is crucial to understand how they can be used to address problems in the current diagnostics processes and protocols. Therefore, this paper studies how different university teams engage in problem exploration to better understand how they can translate the technical features of their POC testing solutions into an attractive value proposition. To be able to study this, a qualitative case study research design was chosen. In particular, 11 university student teams participating in the SensUs contest were studied. The main findings show that teams adopting search patterns involving a 'broader' (i.e., considering a wider range of problems and stakeholders) and a more 'interconnected' (i.e., thematically linking problems with one another) problem-exploration were more successful in creating contest outcomes (biosensing solutions) with greater commercial viability. Moreover, teams that sougth direct feedback from market experts generated more commercially viable projects than teams that relied primarly on advice from technical experts.

Business models and the performance of Chinese high-tech service firms: the role of the technological innovation mode and technological regimes

Given China's rapidly developing landscape, improving innovation performance has become a critical objective for high-tech service firms. This study examined the relationship between business models and the performance of Chinese high-tech service firms. The theoretical model is based on contingency theory and incorporates concepts from business model innovation, and technological innovation. A multilevel regression analysis was conducted using data from 489 high-tech service firms in China. The results indicate significant positive correlations between innovation performance and various factors such as efficiency- and novelty-oriented business models, technology development, and technology acquisition. Second, technological innovation mode mediates the relationship between the business model and innovation performance. Third, technological regimes have different moderating effects on the relationships between the type of business model and innovation performance and that between the type of technological innovation and innovation performance. From a practical perspective, firms operating under different technological regimes should adjust their business strategies to achieve optimal innovation performance. Furthermore, the results have several theoretical contributions and practical implications. The findings offer a valuable reference for business growth in developing regions and identifies viable ways to improve the innovation performance of China's high-tech service enterprises.

A novel deep reinforcement learning based business model arrangement for Korean net-zero residential micro-grid considering whole stakeholders' interests

In this paper, we put forward a deep reinforcement learning (DRL) based energy management system (EMS) solution for a typical Korean net-zero residential micro-grid (NZR-MG). We model NZR-MG EMS to extract a profitable business model that respects whole stakeholders' interests and meets Korean power system regulations and specifications. We deployed the value-based DRL technique, dual deep Q-learning (DDQN), as a solution for our EMS problem since of its simplicity, stability in the learning process, and non-dependency on hyper-parameter selection compared to actor-critic methods. Due to the implementation of mixed-integer nonlinear programming (MINLP) to solve the reward function in this paper, DDQN, despite other DRL methods, provides precise, explicit, and meaningful rewards. In addition to encouraging the agent to choose profitable actions, this approach releases the proposed DRL-based method from the hindrance of redesigning the reward function experimentally in any future extension of the environment elements. Moreover, attaching transfer learning (TL) to the process of training DDQN agent defeat the MINLP imposed latency in training convergence. An extensive benchmark is proposed to test the superiority of the proposed method versus other DRL algorithms.

Business model and supporting policies for projects to implement carbon capture and power-to-gas technologies

The project portfolio of carbon capture system and power to gas (CP project) is considered to be a key technology combination for achieving carbon emission reduction and recycling in the future. However, due to a dearth of associated engineering practices and business activities, there is no widely used business model for the large-scale deployment of the CP technology portfolio. The design and evaluation of the business model is crucial for projects with a long industrial chain and complex relationships between stakeholders, such as CP projects. Based on carbon chain and energy flow, this paper analyzes the cooperation mode and profitability among stakeholders in the CP industry chain, selects three suitable business models, and establishes nonlinear optimization models under the three business models. By analyzing the key factors (e.g. carbon price) that can promote investment and have policy influence, the tipping points of the key factors and the cost of support policies are given. Results show that the vertical integration model has the greatest demonstration deployment potential since it has the best performance in terms of cooperation and profitability realization. However, required crucial factors in the CP projects vary from business models, policy makers need to take appropriate supporting measures prudently.

The carbon footprint response to projected base stations of China's 5G mobile network

While the rapid expansion of China's 5G mobile network helps to speed up the nation's economic and social development, it tends to release more CO₂ due to the 5G's significant energy demand, hampering sustainable development of the 5G network. Previous assessments of CO₂ emissions from China's 5G development were based on a projected 5G network ranging from six to fifteen million base stations with the absent of a convincing business model in 5G's application. Under the scenario of business-estimated six million base stations in 2030, the share of electricity consumed by China's 5G networks in 2030 could reach 8.4 % of the national total power generation, causing 0.44 GtCO₂/yr CO₂ emissions. We collected 5G base station numbers in 2020 and 2021 in 31 provinces and province-level municipalities (PLM), the period with the rapid growth of the 5G base stations in China. We linked these provincial base stations with provincial Gross Domestic Product (GDP), population (POP), and big data development level (BDDL) and established a statistical model to predict 5G base stations by 2030. The model predicted 2-5 million 5G base stations by 2030, considerably lower than the business-projected base station number. Under the model predicted 5G base stations, China's 5G network could yield 0.15-0.29 GtCO₂/yr emissions subject to the nation's BDDL from 40 to 80 % by 2030. Both 5G base stations and CO₂ emissions are significantly lower than the previous estimates. We decomposed the CO₂ footprint of China's 5G networks and assessed the contribution of the number of 5G base stations and mobile data traffic to 5G-induced CO₂ emissions. We find that increasing the application of clean energy and promoting energy efficiency can reduce CO₂ emissions in the 5G network. To more accurately estimate 5G's climate effect, we propose that it urgently needs to improve vivid 5G business models.

Review on lignocellulose valorization for nanocarbon and its composites: Starting from laboratory studies to business application

This study concerns a scoping and literature review of nanocarbon and its composites with details on specific propositions, including nanocarbon history, nanocarbon types, and lignocellulose nanocarbon types, properties, applications, toxicity, regulation, and business model for commercialization. The review brings novelties, comprehensively expounding on laboratory studies and industrial applications of biomass or lignocellulose materials-derived nanocarbon and its composites. Since its first discovery in the form of Buckyball in 1985, nanocarbon has brought interest to scientists and industries for applications. From the previous studies, it is discovered that many types of nanocarbon are sourced from lignocellulose materials. With their excellent properties of nanomaterials, nanocarbon has been harnessed for such as reinforcing and filler agents for nanocomposites or direct use of individual nanocarbon for specific purposes. However, the toxicological properties of nanocarbon have delivered a level of concern in its use and application. In addition, with the radically growing increase in the use of nanocarbon, policies have been enacted in several countries that rule on the use of nanocarbon. The business model for the commercialization of lignocellulose-based nanocarbon was also proposed in this study. This study can showcase the importance of both individual nanocarbon and nanocarbon-based composites for industrial implementations by considering their synthesis, properties, application, country legislations/regulations, and business model. The studies also can be the major references for researchers to partner with industries and governments in investing in lignocellulose-sourced nanocarbon potential research, development, and policies.

Economic feasibility and policy incentive analysis of Carbon Capture, Utilization, and Storage (CCUS) in coal-fired power plants based on system dynamics

Carbon Capture, Utilization, and Storage (CCUS) is an important potential technical way for coal power plants to achieve near-zero carbon emissions with the current energy structure in China being dominated by coal. However, CCUS is still at the early demonstration stage, and there are many uncertainties in the business model and policy incentives that the traditional method can no longer handle. At the same time, few studies have analyzed these issues. Taking coal-fired power plants as the research object, we adopt the system dynamics method (SD) to compare the economic feasibility, stability, and CO₂ emission reduction effect of the CCUS in the vertical integration model and the CCUS operator model. Furthermore, this paper also studies the effect of different incentive policies on CCUS. Results show the following: (1) Both models are economically viable. From the stability perspective, the CCUS operator model is superior to the vertical integration model. (2) In terms of the effect of individual policies, the government's preference for subsidies to the coal-fired power plant can significantly reduce CO₂ emissions. Increasing the additional government subsidy and carbon tax can accelerate the CCUS system into a relatively stable state, but beyond a certain range, the marginal CO₂ capture rate, marginal CO₂ emission reduction rate, and marginal profit rate of each department will be significantly reduced. The storage enterprise highly depends on the government subsidy. Low government subsidy allocation, low additional government subsidy, and a low carbon tax will lead to continuous negative profits for the storage enterprise, making the CCUS system unsustainable. (3) The impact of combination policies on CCUS is not simply the sum of the effects of individual policies. Each policy has a counteracting or reinforcing effect on the other.

Disruptive business value models in the digital era

The coronavirus pandemic illustrated how rapidly the global environment could be disrupted on many levels but also drive an acceleration in others. Business leaders are grappling with dysfunctional business models that are ill-equipped to manage the disruptive environment of growing artificial intelligence. Hence, this study examined the discontinuous shift in the scope and culture of business models by exploring interdisciplinary streams of literature. An integrative review methodology was used in this study to develop theoretical constructs relating to business model innovation in the services sector. Key propositions were an innovation continuum, a responsive business innovation model and value architecture, which inculcates a sustainable value creation proposition and market advantage. Businesses must continuously evolve on the high end of the innovation continuum to reduce the risk of innovation apathy and strategic myopia. A key contribution of this study was the interdependencies in value networks that allow for collaborative working and co-creation of resources, such as crowdsourcing, crowdworking and social media platforms. This study also showed the growing importance of a centre of excellence to function at the forefront of disruptive technologies. A key finding was the need for governance structures to recognise and manage the trade-offs between value drivers, which sometimes may conflict with societal benefits. The integrative review revealed that customer relationship management, global business services and artificial intelligence had not been unified in the extant literature, which makes this paper novel in its contribution to businesses struggling with or opposed to the digital revolution.

Four-step approach to idea management sequencing: redefining or reinventing values in a business model

The purpose of this paper is to create and test an idea management sequence framework to reinvent or redefine the value proposition. Idea management with sequencing activities must be considered as a systematic managerial process and should not be confused with the occasional result of an individual with a design thinking mindset. This paper suggests a new approach-a systematic, 4-step idea management sequence to redefine or reinvent value proposition in a business model, which was validated through an action-based research method involving 20 managers from practice by applying the proposed framework. Based on the idea management approach, authors describe the idea generation and evaluation processes and their possible moderation elements. This research contributes to previous studies of the design thinking and innovation by substantiating a concept of the idea management sequencing and proposing a new 4-step approach that can be applied by organisations to redefine or reinvent value proposition in their business models. Being influenced by pandemic restrictions and the full or partial remote workforce, the 4-step idea management approach is beneficial for virtual group sessions as it increases the quality of outcomes, engagement of individuals, collaborative openness, and confidence.

The contribution of organizational culture, structure, and leadership factors in the digital transformation of SMEs: a mixed-methods approach

Contributing to the scarce literature on how companies can deal with their business model of digital transition, this work explores the digital transformation (DT) process in small and medium enterprises (SME), investigating how organizational culture, structure, and leadership influence it. While such three factors are deemed essential components to facilitate DT, how they operate and how they relate to each other are still not very well-defined issues in need of in-depth investigation. This study employed a mixed-methods approach, following an exploratory sequential design. First, a conceptual model was developed based on qualitative data collected from expert interviews and analyzed through grounded theory. This stage uncovered 25 first-order concepts about culture, structure, and leadership, further organized into 6 constructs and hypothesis paths. Then, with a sample of 192 SMEs, the structural model was measured and validated using exploratory factor analysis and PLS-SEM. As a result, our study offers robust and timely research, whose conceptual model condenses a knowledge corpus that future research can benefit from, and it provides statistical extrapolations about how and how much those factors relate to each other in SME context; moreover, given the traditional scarce resources and lack of flexibility in SMEs, it provides orientation and guidelines to managers facing DT and needing to understand the organizational factors they should be aware of, where to focus energy, and what to expect as results. From a large-scale perspective, this study carries an impactful contribution to the many countries where SMEs play a major economic and social role.

The Source of SMEs' Competitive Performance in COVID-19: Matching Big Data Analytics Capability to Business Models

Literature notes that firms are keen to develop big data analytics capability (BDAC, e.g. big data analytics (BDA) management and technology capability) to improve their competitive performance (e.g. financial performance and growth performance). Unfortunately, the extant literature has limited understanding of the mechanisms by which firms' BDAC affects their competitive performance, especially in the context of small and medium-sized enterprises (SMEs). Using resource capability as the theoretical lens, this paper specifically examines how BDAC influences SMEs' competitive performance via the mediating role of business models (BMs). Also, this study explores the moderating effect of COVID-19 on the relationship between BDAC and BMs. Supported by Partial Least Squares-Structural Equation Modelling (PLS-SEM) and data from 242 SMEs in China, this study finds the mediating roles of infrastructure and value attributes of BMs in enhancing the relationship of BDAC on competitive performance. Furthermore, the improvement of financial performance comes from the matching of BDA management capability with infrastructure attributes of BMs, while the improvements in growth come from the matching of BDA management capability and BDA technology capability with value attributes of BMs. The result also confirms the positive moderating effects of COVID-19 on the relationship of BDA management capability and value attributes of BMs. This study enriches the integration of BDAC and BMs literature by showing that the match between BDAC and BMs is vital to achieve competitive performance, and it is helpful for managers to adopt an informed BDA strategy to promote widespread use of BDAs and BMs.

Multi-sided platforms in competitive B2B networks with varying governmental influence - a taxonomy of Port and Cargo Community System business models

Our knowledge on differences in business model characteristics of thriving and failing Multi-Sided Platforms in competitive B2B networks (B2B-MSP) and potential influences of increasing governmental involvement remains fragmented. This study develops a taxonomy to classify special B2B-MSP with varying governmental influence in the supply chain and transportation context, viz. Port and Cargo Community Systems (CS). Based on the classification of 44 international CS, we identify four archetypes using cluster analysis. The taxonomy provides practitioners with a differentiated view on the configuration options of CS business models including the involvement of governmental institutions, while the presented archetypes contribute an aggregated view of CS business models. The statistical analysis of our results provides initial explanatory approaches on CS business model dimension interdependencies, thereby laying the basis for a deeper understanding of sectoral and geographic differences of B2B-MSP and their diffusion dynamics as well as facilitating a higher contextualization of future research.

Development of a Business Model Resilience Framework for Managers and Strategic Decision-makers

Following the massive impact of the Covid-19 pandemic on the global economy and on small and medium-sized enterprises (SMEs) in particular, the concept of resilience has experienced a renaissance. As an organizational concept, business model resilience describes the extent to which an organization can maintain or quickly recover its value proposition despite unexpected current or future disruptions (Palzkill-Vorbeck 2018). Although research has been conducted in this area for decades, there is still a lack of a unified framework that brings together the findings from research and links them to organizational practice. The paper addresses this gap by developing a framework for business model resilience and demonstrating its practical relevance for organizational performance during the Covid-19 pandemic in 2020. The framework includes 11 factors that characterize the resilience of an organization's business model. For managers and decision-makers, the framework is an opportunity to assess and improve the resilience of their organizations. For researchers, the framework is an important foundation for transferring the concept of business model resilience into organizational practice.

The impact of unmanned stores' business models on sustainability

Digitalization and big data are continuing to revolutionize industries impacting the global economy, environment, and society as a whole. The retail industry is not an exception and is facing a paradigm shift in many aspects of its operations. One of the latest innovations in this industry is the development of unmanned stores concepts and business models. These novel business models are mostly used in the grocery stores segment with an impetus to eliminate the need for check-out lines and to create more efficiencies in the whole process of the shopping experience. Because of the disruptive nature of this business model, it is important to research the effects of its expansion into society. In this article, we are making a critical analysis of the sustainability impact of unmanned stores and assess the strategic direction and growth strategies of major corporations and organizations within the value chain. We used an unambiguous and straightforward questionnaire as the research tool and the results show grocery as the current target for expansion, however, future expectations from business developers lean heavily towards coffee and books. Interestingly, the investment logic for expected benefits from the participants seemed to be biased towards efficiencies and the value chain benefits seemed to mostly come from the use of big data and data analytics. The most important use of the data was associated with the dynamic pricing models. Additionally, our study shows interesting insight for example to the growth segments, the role of sustainability, and barriers of entry.

Examining insurance companies' use of technology for innovation

The insurance industry is innovating. Business models, services and processes are rapidly evolving, largely backed by technological developments. The particular historical context of COVID-19 provides a suitable case to understand the relevance of exploiting technology to react quickly to traditional and emerging risks. Focusing on the initiatives put in place by the most influential insurance companies at the global level, we have framed the innovation mechanisms in the industry, highlighting four rationales underpinning these initiatives (Adaption, Expansion, Reaction and Aggression), which differ according to the relevance of the technology in use and innovation to the portfolio of risks covered. Overall, it emerges that insurance companies have the room and capability to innovate, in many cases using technological applications to cover new and existing risks. While the initiatives studied concern the entire value chain, basic primary activities, such as product development, sales and claims management, show that innovation based on new or existing technology determines the success and competitiveness of the business.

COVID-19 and digitalization: The great acceleration

Inspired by burgeoning scholarly interest in the role of digitalization in the COVID-19 pandemic, this paper examines how the COVID-19 pandemic is driving or constraining the digitalization of businesses around the globe. We contend that COVID-19 is "the great accelerator" in fast-tracking the existing global trend towards embracing modern emerging technologies ushering in transformations in lifestyle, work patterns, and business strategies. Thus, COVID-19 has evolved to be a kind of "catalyst" for the adoption and increasing use of digitalization in work organization and the office, alongside presenting foreseen and unforeseen opportunities, challenges, and costs-leading to negative and positive feedback loops. In this article, we develop and advance a conceptual model by linking the different forces for and against digitalization in response to the pandemic. Our analysis indicates that adoption of emerging technologies may be hindered by vested external interests, nostalgia, and employer opportunism, as well as negative effects on employee well-being that undermine productivity, work-life balance, and future of work. Whilst digitalization may bring new opportunities, the process imparts risks that may be hard to mitigate or prepare for. Finally, we draw out the wider theoretical and practical implications of our analysis.

Economic Efficiency of Outsourcing Business Models: A Comparative Assessment

This study aims to form a methodological approach to assess outsourcing business models and identify the most acceptable one for a modern enterprise. The research methodology is based on the author's approach, which includes cognitive map analysis and a simplicial complex. The study was tested on two Information Technology companies in Russia. Based on the determination of the profit elasticity on the manageable vertices of outsourcing business models, the most attractive in terms of efficiency criterion in the form of profit is the outsourcing business model of developing in-house non-IT services. The analysis of structural connectivity made it possible to rank the factors by the level of importance for the preservation of the business model. Modeling the effectiveness of implementing the formed outsourcing business models provided an opportunity to increase profits for the investigated IT companies by increasing the number of single-type projects. The conducted modeling of changes in relations with customers in the studied IT enterprises shows the inexpediency of changing customer relations in BM3. It is proved that certain factors can be replaced without losing the integrity of the business model. The scientific contribution of this study is the proposed methodological approach for assessing the effectiveness of an outsourcing business model. Based on the application of this methodology, the strategic objectives are linked to the business model in the process of achieving them (the achievement of strategic objectives under the influence of the selected outsourcing business model is shown).

Business model innovation at the bottom of the pyramid - A case of mobile money agents

Business models have historically facilitated the ability of firms to create and capture value. Focusing on financial service agents (FSAs) as actors in the Nigerian financial services industry, this study helps to elucidate how value creation and distribution can facilitate business model innovation (BMI) in an emerging market. We deployed Osterwalder and Pigneur's business model canvas alongside Amit and Zott's Sources of Value in e-Business (SVCeB) model in mapping FSA business models and value creation sources. We find that the constant need to align the resources of a firm with the demand conditions at the customer end triggers the need for BMI by FSAs. The findings also demonstrate that FSAs have weak business models that inhibit their sustainability and ultimately impede their ability to play their role in closing the country's financial exclusion gap. We suggest the need for business model innovation by FSAs as a pathway to viability, profitability and sustainability.

Successful implementation of telemedicine depends on personal relations between company representatives and healthcare providers: A qualitative study of business models for Danish home telemonitoring

The struggle to transform telemedicine from project level to daily clinical practice is ongoing. An assessment of the business models of telemedicine applications could provide insights into how to facilitate this transition. Our aim was to identify the qualitative characteristics of business models of long-term operational telemedicine providers in Denmark.A structured interview study design was applied to interviews of representatives from seven Danish companies providing home telemonitoring in long-term operation. Data was analysed using Osterwalder's Business Model Canvas framework.Multiple themes emphasized the importance of strong personal relationships between company representatives and healthcare providers. Personal relations could 1) secure a strong relationship to lead users and clinical ambassadors; 2) facilitate work with healthcare providers to develop, test and revise value propositions; 3) promote user support and education; 4) establish an indirect connection between companies and healthcare managers or decision makers.Thus, a strong personal relationship between company representatives and healthcare providers is of paramount importance when integrating home telemonitoring from project stage into clinical practice. However, this strategy could lack patient involvement, use of data, and business scalability. Additionally, companies with the ability to establish strong personal connections could be favoured over companies which provide strong clinical and economic evidence.

Wearable seizure detection devices in refractory epilepsy

Epilepsy affects 50 million patients and their caregivers worldwide. Devices that facilitate the detection of seizures can have a large influence on a patient's quality of life, therapeutic decisions and the conduct of clinical trials with anti-epileptic drugs. This article provides an up-to-date overview and comparison between wearable seizure detection devices (WSDDs), taking into account the newly proposed standards for testing and clinical validation of devices. 16 devices were included in our comparison. The F1-score, combining the device's accurate recall and precision, was calculated for each of these devices and used to evaluate their performance. The devices were separated by development phase and ranked by F1-score from highest to lowest. We describe 16 WSDDs: 6 of which were accelerometry (ACM)-based, 3 surface electromyography-based, 1 was a wearable application of EEG, 4 had multimodal sensors and 2 other types of sensors. We observed a significant inconsistency in the description of performance measures. The devices in the most advanced development phase with the highest F1-scores incorporated ACM- and sEMG-based sensors to detect tonic-clonic seizures. This review highlights the importance of implementing standards for an optimal comparison and, therefore, improving the research and development of WSDDs. WSDDs can improve the patient's care and quality of life, decrease seizure underreporting and they could potentially prevent sudden-unexpected-death in epilepsy. We discuss the central role of the neurologist in the use of WSDDs, and why a business to business to consumer model is better than the current business to consumer model of most WSDDs.

Sustaining WEEE collection business in China: The case of online to offline (O2O) development strategies

WEEE has become a global focus because of its environmental pollution and human health risk and the valuable resources contained. China's ban on solid waste imports reconstructs the global WEEE flow, leading to a more complicated situation for global WEEE recycling that asks for innovative development. The advanced development of the Internet opens new doors to WEEE collection-the first step of recycling, O2O (integrating online platform and offline collection) development strategies are adopted by many companies in China. The exploration of the new model and experiences of WEEE collection in China can provide lessons for other countries. In this study, we decode the business model of three typical cases in China using Business Model Canvas, and discuss and summarize the types, structure characteristics, operating mechanisms and effects of O2O WEEE collection model. The results show that: there are three typical types of O2O WEEE collection model in China, first one derived from internet corporate, second one derived from recycling corporate and third one served as a third-party platform. To ensure the fluency and sustaining of information flow, material flow, and fund flow, O2O WEEE collection model builds information support platforms with user-friendly interfaces, various distribution channels, and accurate pricing systems. To operate the business smoothly, attractive participation mechanism, cooperation mechanism, and multi-level profit mechanism have been constructed. The O2O WEEE collection model enjoys popularity in the capital market and customers for reducing the transaction costs, expanding the collection scope and scale and contributing to efficient and effective WEEE recycling.

Business models of the French veterinary offices in rural areas and regulation of veterinary drug delivery

French veterinarians are authorised to both prescribe and deliver drugs. This situation of conflict of interest is sometimes denounced as a potential source of over-prescription and overuse of veterinary antimicrobials, even if no evidence is available up to now. This leads to regular calls for separating prescription from drug delivery, even if the consequences of such separation are unknown. The present work aims at describing the business model of French veterinary offices and the expected impact of separation on those offices. A dataset of 15 million observations was built with structural and accounting data collected for the period 2015-2017 from French mixed veterinary offices. Results of the baseline scenario indicate that veterinary offices' profit generated from farm animal activities is mainly driven by drug delivery (about 70%), while profit from companion animal activities is mainly driven by medical acts (i.e., consultation and advice, surgery, and laboratory analysis) and sale of accessory products (about 65%). The net margin rate is higher than 25% for all activities, except for material selling. If drug delivery or sales associated with a medical act (same day, same client, and same animal) do not require additional human resources (alternative scenario), the net margin is reduced for medical acts. For both scenarios, a high variability is observed between veterinary offices. This shows that the profit of each activity is highly driven by time spent on the activities. Our results suggest that, in the case of restrictions on drug delivery by veterinarians, their profit may dramatically decrease, especially for farm animal practitioners and those with low medical acts profitability. Further work is needed to account for the high diversity of situations faced by veterinary offices and the sensitivity of their profitability to production costs.

Exploring relevance, public perceptions, and business models for establishment of private well water quality monitoring service

Existing public policies mostly focus on public water systems, leaving aside the quality issues regarding private wells in small and rural locations. Establishment of affordable and accessible water quality monitoring services may ensure acceptable levels of all the parameters. This paper aims to explore (a) health risk because of chemical contaminants of private wells, (b) population perspective on well water quality and monitoring, and (c) to create a business model of a centralized water quality monitoring service. The results show potential problems with toxic levels of arsenic, barium, cadmium, chromium, lead, mercury, and selenium. About 5% of the province's population is at risk for potential exposure to contaminated private well water. The survey reinforces that the successful implementation of water testing laboratories for private wells is a shared responsibility between well owners and the government organizations, and almost three-fourths respondents were willing to share the cost up to certain limit. A business model including financial projections for a centralized water testing laboratory is presented. Drinking of unmonitored private well water is putting population health at risk. Either strong regulation with mandatory water testing or voluntary water testing with adequate government subsidy can ensure sustainable function of a centralized water testing laboratory.

Assessment of a Business-to-Consumer (B2C) model for Telemonitoring patients with Chronic Heart Failure (CHF)

BACKGROUND

The purpose of this study is to assess the Business-to-Consumer (B2C) model for telemonitoring patients with Chronic Heart Failure (CHF) by analysing the value it creates, both for organizations or ventures that provide telemonitoring services based on it, and for society.

METHODS

The business model assessment was based on the following categories: caveats, venture type, six-factor alignment, strategic market assessment, financial viability, valuation analysis, sustainability, societal impact, and technology assessment. The venture valuation was performed for three jurisdictions (countries) - Singapore, the Netherlands and the United States - in order to show the opportunities in a small, medium-sized, and large country (i.e. population).

RESULTS

The business model assessment revealed that B2C telemonitoring is viable and profitable in the Innovating in Healthcare Framework. Analysis of the ecosystem revealed an average-to-excellent fit with the six factors. The structure and financing fit was average, public policy and technology alignment was good, while consumer alignment and accountability fit was deemed excellent. The financial prognosis revealed that the venture is viable and profitable in Singapore and the Netherlands but not in the United States due to relatively high salary inputs.

CONCLUSIONS

The B2C model in telemonitoring CHF potentially creates value for patients, shareholders of the service provider, and society. However, the validity of the results could be improved, for instance by using a peer-reviewed framework, a systematic literature search, case-based cost/efficiency inputs, and varied scenario inputs.

Micro factors bringing the pharmaceutical industry to a seismic shaking a qualitative research

INTRODUCTION

Due to changing macro and micro factors, expiring patents and falling net income, pharmaceutical companies need to rethink their vertical business model. The trend shows cross-sectorial partnerships and consolidation to remain and compete on the market. Areas covered: Quantitative research interviewing a target group of 25 key executives from small, mid and large global pharmaceutical companies rounded with qualitative literature research completing the analysis. Expert commentary: Uncertainty in the industry due to changing external factors i.e. pricing pressures, regulations or an economic slowdown, slowing down innovations and new drug outcomes. Pharmaceutical companies understand the existing hurdles, and are critically optimistic implementing new business models. Also, various stakeholders are included in the value chain due to their growing importance.

CONCLUSION

During the next years, the industry will be restructured from volume towards value, and only pharmaceutical companies' clairaudient and reciprocate to the changes with an out-off the box thinking will be able to resist on the market. Small biotech companies should focus on research, and big pharmaceutical companies entering at development focusing on the process until the distribution. This execution business recommendation would enable the best know-how at the right point, mitigating the risk and enhancing the patient outcomes.

Open access to scientific articles: a review of benefits and challenges

The Internet has fundamentally changed the publishing of scholarly peer reviewed journals, and the way readers find and access articles. Digital access is nowadays the norm, in particular for researchers. The Internet has enabled a totally new business model, Open Access (OA), in which an article is openly available in full text for anyone with Internet access. This article reviews the different options to achieve this, whether by journals changing their revenue structures from subscription to publishing charges, or authors utilizing a number of options for posting OA versions of article manuscripts in repositories. It also discusses the regrettable emergence of "predatory" publishers, who spam academics, and make money by promising them rapid publication with only the semblance of peer review. The situation is further discussed from the viewpoints of different stakeholders, including academics as authors and readers, practicing physicians and the general public.

Dynamic electronic institutions in agent oriented cloud robotic systems

The dot-com bubble bursted in the year 2000 followed by a swift movement towards resource virtualization and cloud computing business model. Cloud computing emerged not as new form of computing or network technology but a mere remoulding of existing technologies to suit a new business model. Cloud robotics is understood as adaptation of cloud computing ideas for robotic applications. Current efforts in cloud robotics stress upon developing robots that utilize computing and service infrastructure of the cloud, without debating on the underlying business model. HTM5 is an OMG’s MDA based Meta-model for agent oriented development of cloud robotic systems. The trade-view of HTM5 promotes peer-to-peer trade amongst software agents. HTM5 agents represent various cloud entities and implement their business logic on cloud interactions. Trade in a peer-to-peer cloud robotic system is based on relationships and contracts amongst several agent subsets. Electronic Institutions are associations of heterogeneous intelligent agents which interact with each other following predefined norms. In Dynamic Electronic Institutions, the process of formation, reformation and dissolution of institutions is automated leading to run time adaptations in groups of agents. DEIs in agent oriented cloud robotic ecosystems bring order and group intellect. This article presents DEI implementations through HTM5 methodology.

Business model innovation in the water sector in developing countries

Various technologies have been deployed in household devices or micro-water treatment plants for mitigating fluoride and arsenic, and thereby provide safe and affordable drinking water in low-income countries. While the technologies have improved considerably, organizations still face challenges in making them financially sustainable. Financial sustainability questions the business models behind these water technologies. This article makes three contributions to business models in the context of fluoride and arsenic mitigation. Firstly, we describe four business models: A) low-value devices given away to people living in extreme poverty, B) high-value devices sold to low-income customers, C) communities as beneficiaries of micro-water treatment plants and D) entrepreneurs as franchisees for selling water services and highlight the emergence of hybrid business models. Secondly, we show current business model innovations such as cost transparency & cost reductions, secured & extended water payments, business diversification and distribution channels. Thirdly, we describe skills and competencies as part of capacity building for creating even more business model innovations. Together, these three contributions will create more awareness of the role of business models in scaling-up water treatment technologies.

National health service in India: be aware of what it means

India welcomes international partners and businesses. Indians and Indian health care need to understand the nature and role of foreign collaborators so that appropriate use of expertise and resources can happen. India will initially need to find a balance and eventually need to 'grow its own' to achieve success in healthcare.