A review of a recommendation filtering system approach based on reliable sustainable opinion mining

PurposeIn this article the authors will focus on the state of the art on information filtering and recommender systems based on trust. Then the authors will represent a variety of filtering and recommendation techniques studied in different literature, like basic content filtering, collaborative filtering and hybrid filtering. The authors will also examine different trust-based recommendation algorithms. It will ends with a summary of the different existing approaches and it develops the link between trust, sustainability and recommender systems.Design/methodology/approachMethodology of this study will begin with a general introduction to the different approaches of recommendation systems; then define trust and its relationship with recommender systems. At the end the authors will present their approach to “trust-based recommendation systems”.FindingsThe purpose of this study is to understand how groups of users could improve trust in a recommendation system. The authors will examine how to evaluate the performance of recommender systems to ensure their ability to meet the needs that led to its creation and to make the system sustainable with respect to the information. The authors know very well that selecting a measure must depend on the type of data to be processed and user interests. Since the recommendation domain is derived from information search paradigms, it is obvious to use the evaluation measures of information systems.Originality/valueThe authors presented a list of recommendations systems. They examined and compared several recommendation approaches. The authors then analyzed the dominance of collaborative filtering in the field and the emergence of Recommender Systems in social web. Then the authors presented and analyzed different trust algorithms. Finally, their proposal was to measure the impact of trust in recommendation systems.

Engaging with technological sustainability

PurposeThis study aims to introduce the journal and its purpose.Design/methodology/approachThis study reviews a variety of issues to show the kind of research which is relevant to the journal and the approaches which can be used.FindingsThis study shows the great need for research in the ways in which technological development is needed in order to address the issues of sustainability.Practical implicationsThese can be many and diverse.Originality/valueAs the introductory chapter for this new journal its purpose is unique.

Technology aspect of Electric Vehicles Initiative's social sustainability

PurposeThe Electric Vehicles Initiative (EVI) is a multi-government policy forum devoted to speed up the introduction and adoption of electric vehicles (EVs) worldwide. EVI key themes for sustainable development include energy-efficient transportation with e-mobility (drive-by science and technology), reduced greenhouse gas emissions, decreased oil dependence and improved local air quality. India's transport sector contributes around 142 million tons of CO2 every year, with road transport contributing 123 million tons.Design/methodology/approachReview methodology forms a basis for knowledge development, creating guidelines for policy and practice. Quality assessment of review articles is by using mixed methods appraisal tool (MMAT).FindingsThe research trends on Sustainable Development Goal (SDG) technological and social aspects highlight the critical role of technology in economic and social development, emphasising infrastructure development and communication of government policy and rewards for awareness and end-user acceptance.Originality/valueThe scenario brings a school of thought if it is equally important to address a social perspective to improve India's perception and acceptance of technology-enabled EVs.

Probabilistic environmental risk assessment of infectious agents transported by air and with community transmission

PurposeThe paper aims to apply the probabilistic analysis of risks, improve the prediction and control of infections and optimise the use of resources and the knowledge available at all times.Design/methodology/approachFirst, a model based on Bayesian inference, which can be solved with the WinBUGS (Windows interface Bayesian inference Using Gibbs Sampling) simulation software, is described to reduce the uncertainty of the parameter that most influences air transmission: the rate of quanta emitted by the infected. Second, a method for predicting the expected number of infections and combining available resources to reduce parameter is described.FindingsThe results indicate that it is possible to initiate a powerful learning process when all available knowledge is integrated alongside the newly observed data and that it is possible to quantify the interaction between the environment and the spaces, improving the communication process by providing the values in a format that facilitates the objective perception of danger.Research limitations/implicationsThe implementation of the inference model requires access to the spaces where there were infected.Practical implicationsThe current study provides a model and a method to improve the probabilistic analysis of risks, which allows the systematisation of the risk-based management approach to control community transmission caused by infectious agents that use the airway.Social implicationsThe application of the risk assessment and treatment method requires collaboration between the parties that will help the effective implementation of the improvements, such as to verify whether the available resources are sufficient to achieve control.Originality/valueA hierarchical Bayesian inference model is presented to control the uncertainty in the quanta rate. Bayesian inference initiates a learning process to better understand random uncertainty. A method to quantify and communicate risk was also presented, which proposes to decompose the risk into four components to predict the expected number of infected individuals, helping to implement improvement measures, with the resources and knowledge available.

The implied significance of integrative geographical information systems in sustainable tourism and comprehensive community development in Musina Municipality, South Africa

PurposeThe purpose of the paper was to explore the latent function of geographic information systems (GIS) in sustainable tourism, community-based natural resource management (CBNRM) and local community development in Southern Africa, broadly Africa, and diverse rural areas elsewhere globally. Hence, significantly liaising with data and literature review on the Musina Municipality natural resource management, livelihoods, and tourism development issues in Limpopo Province, South Africa.Design/methodology/approachThe study utilizes a general literature review, document reviews, focus group discussions and field observations to examine the Musina Municipality's rural, environmental and tourism resources management situations along with African and worldwide pertinent implications. The study benchmarks with CBNRM and GIS in sustainable tourism nature within the Musina Municipality.FindingsThe study reveals a fitter dormant-synergetic link among tourism and agrarian (rural) exercises that GIS along a concept of CBNRM can expand within the Municipality. Hence, the study has presented a necessity for a proper and a GIS-unified tourism approach to permit the local communities in Musina Municipality and towards the entire continent.Originality/valueSeveral rural populations in Southern Africa and Africa broadly dwell in low-income areas; Musina Municipality is no exception. Such environs are rich in natural biodiversity, including tourism entities host regions. GIS, sustainable tourism and CBNRM can create a gestalt of local community development projects within such milieus.

Framing and control for sustainability of industries

PurposeThe paper attempts to frame the challenge of managing the transition to a sustainable economy by way of a conceptual model consisting of a zero-footprint regulatory regime and a sustainability fund.Design/methodology/approachA conceptual model of the sustainable industrial revolution has been developed based on the learnings from industries such as originators (mining), farming, pharmaceuticals, pesticides and chemicals and long-lasting artefacts against an overall perspective.FindingsIt is suggested to have an institutional structural mechanism in place to ensure that footprint is minimized through recycling including refurbishing, resale or transformation. This includes management of recycling businesses through execution of a zero-waste regulatory regime that will build and use a sustainability fund.Research limitations/implicationsThe limitations of the paper are arising out of the topic being an issue of gigantic proportions with immense complexity. An attempt has been made to bring out the inescapability and the imperative of a sustainable industrial revolution.Practical implicationsThis paper presents practical aspects such as collusion between trash and recycling businesses, land use and social aspects of criticality of public support. If implemented, the suggested model can make a paradigm shift in the way firms, industry and governments can handle the challenge of sustainability.Originality/valueThe value of this conceptual paper lies in an attempt to extend the learning organization framework to the concept of a regulatory model for sustainability that is not limited to the definition of a firm but stands extended to industries and to the economics, land use and demographics of the planet.

Technological regimes or “perceived” technological regimes? Evidence from the Italian wine industry

PurposeTechnological regimes define the environment in which innovative and learning activities take place in each sector of the economy. In this paper, the authors argue that technological regimes must be interpreted and elaborated by each organisation operating within a sector in order to be implemented rationally, which leads us to the concept of perceived technological regimes.Design/methodology/approachThe authors tested the relevance of firms' perceptions of different technological regimes on a sample of wine companies in Italy. The authors run a questionnaire survey and obtained 334 clean responses. Data drawn from questionnaires were analysed via econometric analysis.FindingsThe authors present empirical evidence that this perception tends to vary across different wine technologies. Additionally, the authors find evidence that firms' technology adoption, absorptive capacity and external knowledge sourcing have a strong impact on their perceptions of the relevance of a given wine-making technology.Originality/valueWhile individual technological regimes are characterised by systematic differences in the distribution of heterogeneous firm types, previous empirical studies have not explored whether the technological environment defining a given industry is differently interpreted and elaborated by each firm operating in it.