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Using data from a continuous and ongoing cross-sectional web survey on hospitalisation service experiences in two Italian regions, the authors used multilevel and multivariate logistic regression models to identify factors related to users' demographics, emotional and informative support, technical and physical aspects of the provision, influencing satisfaction and willingness-to-recommend, before and during a crisis.

The value-in-use, defined in terms of a positive or negative value given by the experience with services, can be evaluated by users and influenced by the context of provision. The authors tested whether and how the value-in-use of services changed in a context of crisis. This study is applied to the healthcare sector during the coronavirus disease 2019 (COVID-19) epidemic, by evaluating the impact of the pandemic on hospitalisation experience.

Overall, analyses of 8,712 questionnaires found a greater value after the pandemic spread. In a time of crisis, technical and informative aspects of care were found to be most valued by patients that may recognise the extraordinary professionalism of workers during the crisis.

This study empirically suggests that context can affect the evaluation of value-in-use by patients during unprecedented circumstances, producing additional value-in-context.

These findings imply that during critical periods where there is less scope for expressions of gratitude and appreciation towards front-line workers, user-reported data can be used for motivating professionals and increase resilience. These results reiterate the need to continue collecting and reporting the service users' voices, including as activity within plans for managing challenging situations.

The level of healthcare system distress, due to the COVID-19 epidemic, positively affects patients' propensity to recommend, which the authors suggest is driven by healthcare services' feelings of reverse compassion. These findings imply that during critical periods where there is less scope for expressions of gratitude and appreciation towards front-line workers, user-reported data can be used for motivating professionals and increase resilience, which can have positive social implications. These results reiterate the need to continue collecting and reporting the service users' voices, including as activity within plans for managing challenging situations.

Research based on the intersection of theoretical and empirical research regarding value-in-use, value-in-context and service quality measured through user experience is scarce, in particular in the healthcare sector. The authors' findings set the direction for future research on the influence of context on value creation and value creation's perception by users, on the concept of reverse compassion and on reverse compassion's impact on organisational well-being, particularly in times of crisis.

The purpose of this paper is to provide a socio-ecological counter account of the role that agroecology plays in supporting the sustainable livelihoods of a co-operative of smallholder coffee farmers, where very little value is created at their end of the coffee commodity chain. Agroecology may be defined as the science that provides the ecological principles and concepts for the design and management of productive agricultural ecosystems that conserve natural resources.

This study uses a case study design of a coffee-producing co-operative in India using data collected from participant observation, focus groups and unstructured interviews with indigenous smallholder farmers. It combines the science of agroecology with the labour theory of value as a theoretical framework.

An agroecological approach supports agricultural biodiversity, while promoting sustainable livelihoods since members of the co-operative are able to reduce their use of external inputs. However, an agroecological transformation is curtailed by the continued dependence on corporate value chains. A framework using the labour theory of value is used to explain the extraction of surplus value from the labour of both the smallholder farmers as well as nature. This study provides evidence of the role of government policy and practice in perpetuating the status quo by not promoting either research on agroecology or direct consumer to producer value chains while providing subsidies for the inputs of industrial agriculture.

There have been very few studies that have provided an account of the limited value generated in agricultural commodity chains for smallholder farmers due to the need to purchase the inputs of industrial agriculture supported by government subsidies. This study extends the field of accounting for biodiversity into agriculture using the science of agroecology to explain the role played by biodiversity in increasing the amount of value generated by smallholder farmers. By utilising the labour theory of value, the authors have introduced the notion of the labour power of nature as represented by the environmental services that nature provides.

The proliferation of customer-related data provides companies with numerous service opportunities to create customer value. The purpose of this study is to develop a framework to use this data to provide services.

This study conducted four action research projects on the use of customer-related data for service design with industry and government. Based on these projects, a practical framework was designed, applied, and validated, and was further refined by analyzing relevant service cases and incorporating the service and operations management literature.

The proposed customer process management (CPM) framework suggests steps a service provider can take when providing information to its customers to improve their processes and create more value-in-use by using data related to their processes. The applicability of this framework is illustrated using real examples from the action research projects and relevant literature.

“Using data to advance service” is a critical and timely research topic in the service literature. This study develops an original, specific framework for a company’s use of customer-related data to advance its services and create customer value. Moreover, the four projects with industry and government are early CPM case studies with real data.

The theory of consumption values (TCV) has successfully explained much consumer choice behavior, but few studies have investigated the values that drive food-delivery application (FDA) use. This study aims to bridge this gap by extending the TCV to the FDA context to examine food consumption-related values and interpreting and rechristening generic consumption values to adapt the TCV to the FDA context.

An explorative mixed-method research approach was taken to conduct focus group discussions with 20 target users to develop the questionnaire and then administer it for a cross-sectional survey (pen and pencil) to FDA users aged 22–65 years; 423 complete responses so received were analyzed using structural equation modeling.

The findings show that epistemic value (“visibility”) is the chief driver of purchase intentions toward FDAs, followed by conditional (“affordances”), price (part of functional value) and social value (“prestige”). Food-safety concerns and health consciousness (proposed as part of functional value) did not share any statistically significant association with purchase intentions toward FDAs.

The findings of this study are insightful for FDA service providers competing for higher shares in the market by helping them understand ways to influence consumer choices and purchase intentions.

It is the first study that combines FDAs 2014 an online service that it is attracting a lot of investment 2014and TCV which has continued to be one of the most relevant theories of consumer behavior. It extends the TCV by adapting it to the FDA context with food-consumption-related values. Thus, it adds to the relatively scant literature on FDAs on the whole which is essential, as FDAs represent the business model of new economy, i.e. online-to-offline (O2O). Finally, this study formulates a conceptual framework that may serve as the basis of future research.

Doctors' labour and medicines are special necessities for human survival and evolution. Since China launched the healthcare reform, the theoretical circles' discussions have not yet clarified the respective special properties of doctors' labour and medicines as goods and the internal relations between doctors' labour and medicines at the level of the theoretical basis.

Health is a prerequisite for people's all-round development, a precondition for economic and social development and the people's common aspiration. The all-round moderately prosperous society could not be achieved without people's all-round health.

The authors believe the socialist relation between doctors' labour and medicines with Chinese characteristics should be one that is people-oriented, and the corporatization of hospitals or the capitalization of doctors' labour should be avoided.

In this paper, the authors explore the particularity of doctors' labour, particularity of medicine production, circulation, consumption and the internal relations between doctors' labour and medicines by using the analytical approach of Marxist political economy while considering the special roles of doctor's labour and medicines in the reproduction of labour power and put forward the theoretical basis for the segregation of doctor's labour and medicines.

The purposes of this research are to study the theory and method of multi-attribute index system design and establish a set of systematic, standardized, scientific index systems for the design optimization and inspection process. The research may form the basis for a rational, comprehensive evaluation and provide the most effective way of improving the quality of management decision-making. It is of practical significance to improve the rationality and reliability of the index system and provide standardized, scientific reference standards and theoretical guidance for the design and construction of the index system.

Using modern methods such as complex networks and machine learning, a system for the quality diagnosis of index data and the classification and stratification of index systems is designed. This guarantees the quality of the index data, realizes the scientific classification and stratification of the index system, reduces the subjectivity and randomness of the design of the index system, enhances its objectivity and rationality and lays a solid foundation for the optimal design of the index system.

Based on the ideas of statistics, system theory, machine learning and data mining, the focus in the present research is on “data quality diagnosis” and “index classification and stratification” and clarifying the classification standards and data quality characteristics of index data; a data-quality diagnosis system of “data review – data cleaning – data conversion – data inspection” is established. Using a decision tree, explanatory structural model, cluster analysis, K-means clustering and other methods, classification and hierarchical method system of indicators is designed to reduce the redundancy of indicator data and improve the quality of the data used. Finally, the scientific and standardized classification and hierarchical design of the index system can be realized.

The innovative contributions and research value of the paper are reflected in three aspects. First, a method system for index data quality diagnosis is designed, and multi-source data fusion technology is adopted to ensure the quality of multi-source, heterogeneous and mixed-frequency data of the index system. The second is to design a systematic quality-inspection process for missing data based on the systematic thinking of the whole and the individual. Aiming at the accuracy, reliability, and feasibility of the patched data, a quality-inspection method of patched data based on inversion thought and a unified representation method of data fusion based on a tensor model are proposed. The third is to use the modern method of unsupervised learning to classify and stratify the index system, which reduces the subjectivity and randomness of the design of the index system and enhances its objectivity and rationality.

This study investigates whether the disclosure of derivatives is value relevant in emerging markets and evaluates the effects of the 2008/2009 global financial crisis on the value relevance of derivative disclosures.

Panel regression models using sub-samples and a crisis interaction term were applied to a sample of the 200 largest non-financial firms by market capitalization listed on the Johannesburg Stock Exchange (JSE) from 2005 to 2017 to assess the consequences of the financial crisis.

The results suggest that the disclosure of derivatives is value relevant in the hitherto understudied context of emerging markets. The 2008/2009 financial crisis had a significant impact on derivatives use and the value relevance of derivatives disclosure by JSE-listed companies.

Companies should reconsider both how they employ derivatives as part of their risk management practices and how they communicate derivatives use to stakeholders in the financial statements. The findings facilitate a comparative analysis across various market contexts by researchers and assist investors in better decision-making. The findings can influence regulatory practices and can help standard setters to review disclosure requirements.

The benefits of corporate hedging were studied from an emerging market perspective, using an original dataset and approach to investigate the effects of international financial volatility on emerging markets. The authors tested whether companies are valued differently, based on their disclosure of the use of derivatives in the financial statements, and the effect of the financial crisis on the value relevance derivatives disclosures.

Currently, there is a conflict in developing countries between the requirements for the self-development of forestry and the insufficient investment in the forestry sector, and the forest ticket system is an innovative forestry management method to solve this contradiction. In the research on the forest ticket system, the study of its price formation mechanism is relatively important. The key issues of the forest ticket system are how to form the forest ticket price and whether the forest ticket pricing methods are reasonable. Solving these problems is the purpose of this study.

This study will use three methods, namely the forest ecosystem service value evaluation index method, the ecosystem service value based on per unit area evaluation method and the contingent valuation method, to study the forest ticket price formation mechanism, filling the gap in the current research on forest ticket pricing methods. It will analyze how these three pricing methods specifically price the forest ticket and evaluate whether these pricing methods are reasonable. This study will then summarize and comprehensively study the forest ticket price formation mechanism and provide policy recommendations for decision-making departments.

The contingent valuation method and the forest ecosystem service value evaluation index method should be mainly used and given priority in the forest ticket pricing process. When the forest ticket is mainly issued for local residents' willingness to compensate for the forestry ecological value, the contingent valuation method should be mainly considered; when the forest ticket is mainly issued for compensating for the ecological value of local used forest land, the forest ecosystem service value evaluation index method should be mainly considered. The ecosystem service value based on per unit area evaluation method does not need to be the focus.

Compared with existing research studies, which focus more on the forest ticket system itself and the definition of forest ticket, this study mainly focuses on the forest ticket price formation mechanism, emphasizing how to form the forest ticket price and whether the forest ticket pricing methods are reasonable, which has a certain degree of innovation and research value and can partially fill the gap in related fields. At the same time, this study has certain help for the enrichment of the forest ticket system and the extension of related research studies.

A key issue to manage sustainability is to be able to operationalise it. Relevant indicators require an appropriate definition of sustainability and sustainable development for the studied organisation. A common problem is inadequate understanding of what sustainability is from an organisational perspective. The purpose of this paper is to propose how to understand, define and measure diagnosing of sustainability from an outside-in perspective.

The building, health care, education and tourism value chains are studied. Based on interpreted stakeholder sustainability needs the stages of understanding, defining and measuring of diagnosing are reviewed, and interpretations proposed. This is with focus on identifying the vital few sustainability impacts in the studied value chains.

The resulting definitions and proposed performance indicators for the chosen areas indicate that the approach works resulting in proposed definitions and indicators for sustainability and sustainable development based on stakeholders need focus. Having clear definitions and performance indicators will support working effectively with sustainable development.

The resulting definitions and proposed performance indicators for the chosen areas indicate that the approach works. Further, proposed definitions and indicators for sustainability and sustainable development based on stakeholder needs focus is useful. Having clear definitions and performance indicators will help an organisation engage with sustainability and be sustainable within an organisational context.

The proposed approach enables using quality management for sustainable development.

Social sustainability is viewed from a poverty and affordability perspective.

Results indicate that there is a value in using an outside-in approach with focus on stakeholder needs in connection with a process-based approach. The approach is in contrast with the customary way of defining sustainability which mostly is based on an inside-out approach identifying several indicators and then adding these to a measure of sustainability.

Given the importance of style allocation strategy under the outsourced chief investment officer (OCIO) structure, the authors examine the validity of style allocation strategies in the Korean stock market. The authors find that external investment agencies can improve performance by using newly suggested investment styles such as high dividend yield and low volatility as well as traditional styles. In addition, the authors find that the style combination strategies create economically large and statistically significant returns. Finally, empirical results indicate that factor timing strategies suggested in this study can improve the reward-to-risk ratio. In sum, the empirical findings indicate that external investment agencies under the OCIO structure can improve performance using active style allocation strategies.