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Packaging and labelling have become essential to how food manufacturers generate and deliver value to customers. The information displayed on the packaging can be used to communicate to customers the properties and unique characteristics of a food product (e.g. nutrients, calories and country of origin). To achieve communication goals effectively, manufacturers need to understand how consumers evaluate products based on their attributes. In particular, companies should be aware of which specific product attributes affect consumer buying behaviour and which product attributes are more critical during food assessment. So, the paper aims to investigate consumer's behaviuor linked to typical product attributes indicated on the packaging.

The present study examines consumer willingness to pay (WTP) for a cherry jam with different attributes (brand, type of production method and price) on a sample of 2,166 Italian respondents through a choice experiment using a random parameter logit-error component model.

The results showed that WTP for jams can be affected by attributes such as brand, price and production methods; precisely, they indicated that the level of naturalness in the production process constitutes the main element for the consumer’s choice; however, the considerable weight that price and brand have in influencing the purchasing behaviour of the food consumer was still confirmed: in fact, a p-value of less than 0.05 was found in all cases.

To the best of the authors’ knowledge, this is the first study that assesses the effect of different types of production on WTP for food products. In addition, this study also reflects on the importance of the level of education for consumer choice.

Infection and cross-contamination have been massive concerns in the medical field. This study aims to investigate consumers’ awareness and their choices of endoscopes, which may deter them from the cross-contamination problem.

A discrete choice experiment survey was administered to 166 respondents in Penang, Malaysia. Participants were asked to make hypothetical choices and estimate their preference for endoscopes. The multinomial logit model was used to estimate the assumptions based on the stated preference data collected.

Only two-fifths of respondents are aware of their rights regarding endoscope selection. The findings are consistent with utility theory, where choices are made to maximise personal satisfaction. If given the choice, consumers preferred the single-use endoscope over the reusable or the doctor’s preferred endoscope. Price, insurance coverage and personal income are significant determinants of the consumer’s choice of endoscopes.

This study only investigates subjects living in Penang. Other possible important attributes to endoscope choices, such as environmental and device availability may be considered in future study.

The findings may create awareness among consumers about their rights when choosing medical devices. It may also improve health-care institutions’ (users’) and device manufacturers’ (industry players’) understanding of consumer needs and demands from socioeconomic perspectives.

The research offers insights into consumer rights and awareness of health-care services. Ultimately leading to better policy to protect consumers’ rights and safety.

This study contributes to the rare literature on consumer rights toward medical devices, in particular, the consumer’s awareness of the choice of endoscopes.

Images and caption descriptions serve as important visual stimuli that influence consumer preferences; therefore, the current study focuses on property images and captions illustrated on the home pages of accommodation-sharing platforms. Specifically, this study investigates the relative importance of hue, brightness and saturation of a property image and caption description styles on potential consumers’ preferences.

A mixed-method approach was used, and a total of 293 valid responses were collected through a discrete choice experiment approach. Interviews were conducted for additional analyses to explore the detailed explanations.

The utility model demonstrated that the image’s saturation was the most critical attribute perceived by the respondents, followed by caption description style, hue and brightness.

This is one of the first studies to investigate the display of attributes on a digital accommodation platform by exploring potential customers’ stated preferences. This study focuses explicitly on images and captions illustrated on the home page of an accommodation booking platform. Detailed image investigation is also a new research area in sharing economy-related research.

The study investigates the influence of financial transparency on citizens' trust and revenue paying behaviour of citizens of local governments in sub-Saharan Africa. It relies on the theories of stewardship and public choice in explaining the relationship between financial transparency, trust and willingness to pay.

The study applied a Partial Least Square Structural Equation Model (PLS-SEM) to survey data of 404 respondents selected from four Metropolitan and Municipal Assemblies of Ghana to test the hypotheses of the study.

It establishes the fact that financial transparency positively influences trust of citizens in local government and their willingness to pay taxes and levies. The study also found that both financial transparency and trust are low in the local governments of Ghana.

The study emphasises the importance of financial transparency in improving trust and willingness to pay. Thus, local governments are encouraged to seek innovative ways to enhance the quality and access to financial information by the citizens.

While prior studies focus on the measurement and determinant of financial transparency, this study links financial transparency to revenue mobilisation in the local government of sub-Saharan Africa.

Bicycle sharing offers a novel way to create smart and sustainable mobility solutions for the future. The purpose of this study is to draw on the Unified Theory of Acceptance and Use of Technology 2 (UTAUT 2) framework for identifying the factors necessary to predict bike-sharing intention among users in India.

Data were collected through a questionnaire distributed across four major cities in India, and 515 responses were analyzed. A sequential approach was employed to analyze the data using Partial Least Square–Structural Equation Modeling (PLS-SEM) and Fuzzy-set Qualitative Comparative Analysis (fsQCA).

The findings from PLS analysis revealed that performance expectancy, effort expectancy, facilitating conditions, hedonic motivation and price value are the salient variables that affect users' intentions to participate in bike sharing. In addition, based on fsQCA, six configurations of causal conditions are presented as intermediate solutions that produce the same results. Although antecedent conditions, such as habit and social influence, had an insignificant effect on individuals' BSI, they create conditions sufficient to encourage users' participation in bike sharing in combination with other variables.

A few limitations of this research and the implications of the findings in terms of theory and policy implications are also discussed.

The reported study is one of the earliest to explain bike-sharing adoption in India using the UTAUT 2 model.

The purpose of this work is (1) to supply a framework of actors in sport sponsorship and articulate the service relationships that support these partnerships and (2) to propose research questions in this space that are unaddressed and forward-looking.

Sponsorship is part of a complex network of actors and service relationships found in sport. The sports team, activity, or event is a sport property, often with long-term and dynamic service relationships. The authors consider how a sponsor's relationship with the sport property intersects with organizing bodies, venues, communities and society. The authors identify clusters of actors that interact with and influence other clusters (e.g. governing bodies, media, host community and venue/teams/fans) within an ecosystem, paying special attention to aspects of co-creation and co-destruction and the feedback loops that cause them.

Through this analysis, the authors identify areas of needed research at the intersection of sport sponsorship and service. The model synthesizes the literature from service-dominant logic, sports, sponsorship, systems thinking and co-creation/co-destruction research areas. Using the model and relevant cases, the authors can better understand the complexities of sport service relationships and advance research at the intersection of sport sponsorship and service.

This is the first sport sponsorship service ecosystem model. It is also the first integration of systems thinking with constructs in sport sponsorship and services.

The purpose of this article is to synthesize the topics, conceptualizations and measurements of value-based management (VBM) and to suggest a research agenda covering its next evolution as sustainable governance.

The authors conducted a systematic literature review of 80 seminal studies published between 1979 and 2022. The authors synthesized the studies by their conceptualizations of VBM in an inductively developed framework.

The authors find that scholars explore diverse topics related to VBM with a prevailing focus on shareholder primacy. There is a paucity of studies that focus on the integration of shareholder maximization and stakeholder management practices. The authors explain which studies will form a promising foundation for advanced research on sustainable governance that will reach beyond current VBM research.

The authors' research agenda addresses new future topics on conflicting goals within and between shareholder groups, offers specific suggestions for using new research methods and untapped data sources for VBM and paves the way to substantially extend the boundaries of the firm in VBM research to include stakeholders, strategic alignment and new sustainability measures.

Climate change has a direct impact on companies. Therefore, the scenario analysis is used to provide companies and stakeholders in this specific sector with forward-looking measures and narratives of the world's future state. This work aims to provide an independent, wide and rigorous literature review on the topics of scenario analysis and climate change, analyzing a large set of referred papers included in economic journals on the Web of Science Clarivate Analytics data source. This review, by means of a mixed approach, can help address new policy strategies and business models.

The work employs 416 abstracts and relative titles in the field of economics, employing data mining for qualitative variables and performing descriptive statistics and lexicometric measures, similarity analysis and clustering with Reinert's hierarchical method in order to extract knowledge. Furthermore, qualitative content analysis allows for the return of a comprehensive and complete universe of meaning, as well as the analysis of co-occurences.

Content analysis reveals three main classification clusters and four unknown patterns: model area, risks, emissions and energy and carbon pricing, indicating research directions and limitations through an overview with an extensive reference bibliography. In the research, the prevalent use of quantitative instruments and their limitations emerge, while qualitative instruments are residual for climate change assessment; they also highlight the centrality of transition risk over adaptation measures and the combination of different types of instruments with reference to carbon pricing.

Scenario analysis is a relatively new topic in economics and finance research, and it is under-investigated by the academy. The analysis combines quantitative and qualitative research using text analytics.