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The focus of this paper is on the emotional experience of consumption and its impact on satisfaction in the context of extended service transactions. Drawing on a multi‐component perspective of emotions, we present a series of research propositions to specify how both retrospective global judgments of consumption emotions as well as their in‐process experience (i.e. their experience during the sequence of episodes composing the transaction) determine post‐purchase satisfaction in multiple ways. At the retrospective level, we propose that while the expected direct relationship between satisfaction and positive emotions will emerge, the equally expected inverse relationship between negative emotions and satisfaction will be found only for negative emotions attributed to the service provider. Negative emotions attributed to causes other than the provider (i.e. to the situation or to oneself) may be positively associated with satisfaction. At the in‐process level, we propose that the experience of distinct emotions at a certain stage of the service may influence the consumer’s expectations for and perceptions of the provider performance, and/or the expressions and behaviors of the consumer himself and those of the provider in the subsequent episode. Such in‐process effects of emotions will then determine their relationship with post‐purchase satisfaction. Theoretical and managerial implications are discussed.

Building on the person–supervisor fit theory, this paper examines how and when leader–follower moqi congruence positively impacts task performance.

With data collected from 174 leader–follower dyads in 41 project teams in Shanghai, China, the authors use polynomial regression and response surface plots to test the hypotheses on the effects of leader–follower moqi congruence.

Leader–follower moqi congruence positively affects followers' task performance, mediated by coordination. Task coordination was of higher quality when the congruence is achieved at a high level of moqi than at a low level. The effect of leader–follower moqi congruence on task performance (mediated by coordination) was weaker when leader-member exchange was low than when it was high.

This study identifies why leader–follower moqi can improve coordination and task performance. It extends person–supervisor fit theory and is an enhancement for moqi research and practice.

Spatial autocorrelation in regression residuals is a major issue for the modeller because it disturbs parameter estimates and invalidates the reliability of conclusions drawn from models. The purpose of this paper is to develop an approach which generates new spatial predictors that can be mapped and qualitatively analysed while controlling for spatial autocorrelation among residuals.

This paper explores an alternate approach using a Fourier polynomial function based on geographical coordinates to construct an additional spatial predictor that allows to capture the latent spatial pattern hidden among residuals. An empirical validation based on hedonic modelling of sale prices variation using a large dataset of house transactions is provided.

Results show that the spatial autocorrelation problem is under control as shown by low Moran's I indexes. Moreover, this geo‐statistical approach provides coefficients on environmental amenities that are still highly significant by capturing only the remaining spatial autocorrelation.

The originality of this paper relies on the development of a new model that allows considering, simultaneously spatial and time dimension while measuring the marginal impact of environmental amenities on house prices avoiding competition with the weight matrix needed in most spatial econometric models.

Delivering vaccines to the children who need them requires a supply chain that is efficient and effective. In most of the developing countries, however, the unknown and unresolved supply chain issues are causing inefficiencies in distributing vaccines. There is, therefore, a great need in such countries to recognize the issues that cause delays in vaccine delivery. With this purpose, the present study aims to identify and analyze the key issues in the supply chain of basic vaccines required to immunize children in developing countries.

Based on a field survey of three states of India, in-depth review of relevant literature and experts’ opinions, 25 key issues were recognized as factors of the vaccine supply chain (VSC) and categorized into five main domains. Using integrated interpretive structural modeling and fuzzy analytic network process approaches, the issues have been prioritized to determine their relative importance in the VSC. In addition, a sensitivity analysis has been performed to investigate the priority stability of the issues.

The results of the analysis show that among the five domains of VSC issues, the economic domain with a weight of 0.4262 is the most important domain, followed by the management (0.2672), operational (0.2222), environmental (0.0532) and social (0.0312).

This study focuses on the prioritization of VSC issues; therefore, the results of the present study can provide direction to the decision-makers of immunization programs of developing countries in driving their efforts and resources on eliminating the most important obstacles to design successful vaccination programs.

To the authors’ knowledge, this paper is first to provide a direction to the decision-makers in identifying and managing important issues through the use of an analytical approach.

Interest has grown in integrated care models as means of responding better to the needs of frail older adults. In order to provide appropriate input for health policy reforms, the effects of integrated care must be assessed with sound methodologies. Based on three experiments conducted in the province of Quebec, Canada, this article provides practical advice on key issues involved in evaluating integrated care models.

This article critically examines the current state of knowledge regarding older people and crime and suggests that there are a number of gaps. In particular, the fear of crime paradox, in which older people are seen as disproportionately concerned about the possibility of becoming a victim, has drawn attention away from much more important issues. The article suggests too that there appears to be confusion in the use of the terms ‘older people’ and ‘crime’, so that very different age groups are treated as one, homogenous grouping. Furthermore, by emphasising age as the most important factor in impacting upon fear of crime other important factors, such as income and gender, are overshadowed. If these are highlighted then the issue of the paradox of older people's fear of crime becomes less important and what emerges is that fear of crime is related to other factors that are a genuine reflection of risk. The article also explores newer, more radical theoretical insights and suggests that they may point policy in a different direction from the current ones.

“Social hesitancy” is a reluctance by people to purchase products, or engage in activities, that may benefit themselves and society. This paper aims to review and assess a visual marketing approach to this significant social marketing problem.

The authors use data visualization technology as an informational tool, visual sentiment analysis as a social text mining tool and Latent Dirichlet Allocation visual (LDAvis) modelling as a topic modelling tool to measure, assess and address social attitudes inherent in hesitancy. The paper’s hypothesis is that these technologies can help society understand the reasons for, and barriers to, hesitancy, and that visual marketing is an extremely effective approach to the hesitancy problem.

Using extensive vaccination data and results from the COVID-19 pandemic, the authors found that the visual marketing technologies were successful informational and motivational tools for social hesitancy.

Hesitancy is a social marketing concern that can have an impact on product or service promotional and motivational campaigns during a crisis. The LDA visual model, for example, can quantitatively extract and measure the social attitudes of people and identify and segment these people based on their feelings. These tools can be valuable to social marketers by helping to establish strategies for any product or service exhibiting hesitant consumer behaviour.

Using advanced visual technology, the paper contributes to social hesitancy by addressing the following question: does a visual marketing approach help social marketers understand the underlying reasons for, and help to mitigate, social hesitancy?

Recent empirical studies have improved methodologies for identifying the causal effects of policies especially on a minimum wage hike. This study identifies causal effects of minimum wage hikes across 47 prefectures in Japan from 2008 to 2010 on employment, average hourly wage, work hours, full-time equivalent employment (FTE), total wage costs, average tenure, separation and new hiring in establishments using a micro dataset of business establishments in restaurant, accommodation, and food takeout and delivery industry. Various regression specifications including controls for time-varying regional heterogeneity are implemented by using the bite of the minimum wage in each establishment. First, this study finds that the effects of a revision of minimum wage on employment and FTE in the establishment are statistically insignificant, but the effects on hourly wages and total wage costs are statistically significant. Subsequently, it considers how the establishments react to the increase in total wage costs caused by the revised minimum wage, and finds that separation from the establishment may decrease, and average tenure of workers may increase.