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This research aims to examine the influence of brand signals (transparency, innovativeness and reputation) on brand trust and price fairness toward organic food restaurant brand.

The empirical data were gathered with the survey instrument from respondents who had previously visited organic food restaurant. The formulated hypotheses were analyzed with structural equation modeling.

The collected data demonstrated the positive effect of brand signals on brand trust and price fairness. Trust in organic food restaurant brand was found to positively impact both price fairness and brand loyalty. Additionally, the results provided evidence of the positive linkage between price fairness and brand loyalty. Among brand signals, brand transparency exerted the greatest impact on brand trust and price fairness. The findings also indicated the significant indirect linkage of brand signals on restaurant brand loyalty through brand trust and price fairness.

Through the lens of signaling theory and equity theory, this study provides novel insights into how brand signals contribute to brand trust, price fairness and organic food restaurant brand loyalty. The managerial implications for implementing brand strategies for organic food restaurants were discussed.

This paper aims to measure the trade price impact of a recent regulatory disclosure intervention in municipal securities secondary markets, which required broker-dealers to disclose securities trading information on a near-real-time and continuing basis.

The author analyzes trade price outcomes in the preintervention and postintervention regimes using a suite of time series estimations that give heteroskedasticity-robust standard errors (Prais–Winsten and Cochrain–Orcutt), accommodate higher-order lag structure in the error term (autoregressive integrated moving average) and account for volatility clustering in the time series (generalized autoregressive conditional heteroskedasticity).

Results show that regulatory disclosure intervention significantly improved trade price efficiency in municipal securities secondary markets as daily trade price differential and volatility both declined market-wide after the disclosure intervention.

The sample consists of trades in State of California general obligation bonds; therefore, empirical findings may not be generalizable to other states, local governments and different types of bonds.

The findings highlight voluntary information disclosure as a practical and effective mechanism in disclosure regulation of municipal securities secondary markets.

Only a small body of work exists that examines information disclosure regulation in municipal securities secondary markets; therefore, this paper expands knowledge on the topic and should provide renewed impetus for regulatory efforts aimed at improving the efficiency of municipal capital markets.

This study aims to map and analyze health-care pricing information research. This work highlights current gap in pricing information research in health care and proposes future research avenues to academia and industry professionals.

A bibliometric method was adopted to analyze extant literature on pricing information asymmetry. Semistructured interviews were conducted with key stakeholders in health care to triangulate the findings.

Pricing information is crucial for all stakeholders including health-care consumers, providers and regulators. The popular research areas were the rising health-care cost, cost-saving, outcome-based pricing, price based on service supply and demand, insurance and out-of-pocket spending. Cost–quality perceived linkages, cost–demand correlation in health-care service and cost–price interlinked drivers were the dominant themes in extant literature. The study highlighted that pricing information asymmetry pushed patients from weaker sections into a debt trap due to unplanned out-of-pocket health-care expenses. The study suggests areas of research to minimize this pricing information asymmetry.

The emerging themes in health pricing asymmetry will help key stakeholders to identify areas for improvement and take remedial actions in the health-care domain.

This study is a pioneering effort to summarize extant literature published in the health-care information pricing domain and analyze it from a bibliometric perspective. The study also triangulates the finding with primary data from key stakeholders and highlights emerging research areas.

The purpose of this paper is to investigate how fairness evaluations are constructed in a B2B context.

This paper conducts a field study of Air Greenland and its internal and external customers based on strong structuration theory (Stones, 2005). The authors employ context and conduct analysis to analyze how fairness evaluations emerge across four levels of structuration.

The paper finds that fairness evaluations emerge as a result of the interaction between external institutional pressures, agents' internal structures, and situated reflection and outcomes. The construction of fairness evaluations was embedded in contradictory institutional structures, where groups of actors constructed different evaluations of fair profits, procedures and prices. Actors furthermore worked on changing position-practice relations which shifted relations, external structures and affected outcomes and fairness evaluations.

This paper offers a conceptualization of embedded agency as emerging across the four levels of structuration. This contributes to debates in strong structuration theory through conceptualizing and analyzing how actors may be both be constrained and oriented by structures while reflexively adapting structures across the four levels of structuration. The paper extends extant pricing fairness research by illustrating how actors' construction of fairness flexibly develop fairness evaluations while responding to legitimacy and societal demands, including the needs of particular customer groups.

Digitalization and marketing technologies have made it possible to overcome some barriers to pricing – a multidisciplinary field between marketing, finance and IT – and have set the stage for a paradigm shift in the pricing profession. Value creation, the pricing process, and price communication have been transformed by innovative business models and advanced algorithmic and human–machine solutions. This chapter synthesizes the literature to date and provides a comprehensive framework for an all-encompassing 360° pricing approach that broadens the understanding of pricing in the context of digital business across all steps of the price management process. Starting from product attributes and motivational beliefs in consumers' value assessment and adoption of (technological or digital) products or services, new business models and pricing models emerge in the digital economy, human–machine solutions for price implementation and repricing are increasingly applied, and price search and communication take place through a variety of digital communication channels. Each stage of this framework discusses concrete examples, highlighting the freemium strategy, the subscription model, price tracking and repricing tools, and digital price information channels such as e-commerce, marketplace, or price comparison platforms. The implications for price management in a digital, technology-driven landscape are discussed from the executive level to the analyst level.

The study evaluates small marginal farmers’ (SMFs) potential behavior, attitude and trust in the adoption of innovative emerging technologies.

The study employed an agile multi-factor approach to conceptualize a digital marketplace to connect a supply chain ecosystem for stakeholders.

The empirical findings suggest that most SMFs are willing to embrace innovative technologies. Nonetheless, they lack the necessary technological oriented education, training and funds to innovate. However, their reluctance to adapt changes is attributable to their fear of losing past customs and practices; they were threatened by the reaction of intermediaries (arthyias) to the adoption of technologies, which could result in them suffering huge losses.

This innovative disintermediation business model has a significant potential to reduce information asymmetry, cost and hoarding – and can thus increase the SMFs’ profit margins. Agricultural technological innovations have a profound potential to impact their supply chain logistics positively by reducing the wastage of perishable food and thus enhancing the consumer experience.

The practice briefing aims to provide real estate professionals and negotiators with a superior understanding of negotiation process design to maximise real estate disposition outcomes. The purpose of this paper is to discuss the aforementioned objective.

This is an expert opinion piece that merges the practical anecdotal knowledge from a real estate expert and a professional negotiator. This opinion piece results from the identification of an underappreciated pattern that the two experts uncovered while discussing several real estate disposition cases, namely the importance of designing a negotiation process to maximize the positive impact of real estate disposition strategies.

Proactively crafting a negotiation process and matching the same to leverage the chosen real estate disposition strategy, instead of relying on a standard negotiation approach across the board, enhances the odds of negotiating superior outcomes.

In this practice briefing, real estate professionals and even negotiators of other assets can become more aware of the plurality of value drivers, consider the most attractive potential buyers, then use these two variables to craft the optimum disposition strategy for their asset, as well as match a negotiation process out of four main possibilities: 1-to-1, 1-to-few, closed-to-many and open-to-many.

The originality comes from demonstrating based on the authors' expert opinion how negotiation process is an important variable in real estate transactions, and how the parties can shape the negotiation process to their conditions, variables and preferences.

This study identifies barriers faced by online e-waste collection platforms in India and proposes a novel approach to manage strategies that contribute towards making such online platforms economically, socially, and environmentally sustainable by mitigating their interacting barriers.

The approach consists of a barrier assessment process and a strategy evaluation and planning process. The barrier assessment process uses multiple criteria decision making (MCDM) based method to evaluate the interactive effects of the barriers to derive their direct and indirect impacts on sustainability. The strategy evaluation and planning process evaluates the overall contribution value of strategies for mitigating interacting barriers and then categorizes them into planning zones based on their contribution and feasibility.

The interaction among the barriers is a significant component of the overall impact of the barriers on sustainability. The most impactful barriers are the lack of dissemination of information, lack of government support, insufficient infrastructure, and awareness and attitude of consumers. Lack of government support is the most influential causal barrier. Lack of information dissemination is a significant causal barrier with the highest overall impact on sustainability. Priority strategies that must be implemented to ensure sustainability include government support, offering higher prices or discounts for giving up e-waste, and increasing information dissemination.

Different from existing approaches for evaluating sustainability strategies, the strategies in this study are identified and evaluated based on their overall contribution towards mitigating interacting barriers to sustainability. The approach is applied in the Indian context to reveal the most influential barriers to the sustainability of online e-waste collection platforms and the most effective strategies for mitigating these barriers. The outcomes of this study contribute to strategy planning for sustainable online e-waste collection platforms in India.

This research aims to investigate the effects of e-service quality on customer satisfaction and customer loyalty. The moderating effects of web design and trust in the relationship between e-service quality and customer satisfaction are also explored.

A conceptual model involving various dimensions of e-service quality, customer satisfaction, loyalty, price perception and web design is developed, and hypothesized relationships are tested using Hayes’s PROCESS macros. A survey instrument and data from 650 respondents who are regular e-buyers from the southern part of India are used.

The results indicate that e-service quality positively relates to customer satisfaction and loyalty. The findings also suggest that price perception and trust are vital in enhancing customer satisfaction. Further, the indirect effect of e-service quality on customer loyalty through customer satisfaction is supported. Finally, web design (first moderator) and trust (second moderator) significantly influence the relationship between e-service quality and customer satisfaction.

This research underscores the importance of e-service quality, web design, and trust in influencing customer satisfaction. Based on the findings from this study, e-retailers are suggested to discover the methods of building and improving customer trust and create a web design that is appealing to the customer to enhance satisfaction and loyalty. Some of the limitations of this study include common method bias and social desirability bias. However, the authors have taken adequate care to minimize these biases.

This paper used the e-service quality model and investigated the consequences of e-service quality during the post-pandemic new normal period in a developing country (India). The double moderation of web design and trust is a novel idea that previous researchers have not explored to the best of the authors' knowledge and makes a significant contribution to service marketing. In addition to providing resounding evidence of direct relationships, the three-way interaction investigated in this study makes this study unique and pivotal.

This paper aims to explore the intention to adopt Islamic finance (ItIF) through the mediation of attitudes towards Islamic finance among microbusiness owners of Pakistan.

The study is co-relational and based on cross-sectional data. The authors gathered the data from microbusiness owners through a survey questionnaire. The authors used 236 valid cases to assume the outcomes.

The results through structural equation modeling reveal a significant positive effect of the perception of Shariah compliance (PoSC), knowledge of the Islamic financial system (KoIF), religious preferences (RP) and loyalty on ItIF. Furthermore, attitude towards Islamic finance (AtIF) is a potent factor in developing the relationship between PoSC, KoIF, RP, loyalty and ItIF.

The study’s findings would be helpful for planners and policymakers in developing policies that favourably enhance the attitudes and intentions among individuals towards Islamic financing. The results would inspire readers to go to Islamic finance and an interest-free financial system enriched with Shariah law or Islamic obligations. The study would provide implications for the financial institutions in Pakistan and the rest of the Muslim world.

The study offers an apparent thoughtfulness of the empirical evidence from microbusiness owners of Pakistan. The study would provide a plausible mediating contribution of AtIF.