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The purpose of this study is to unearth antecedents of regrettable dining experiences related to the information source, action and inaction perspectives, dining companion influence and interactions among information source, the focal customer’s valence and the dining companion’s valence on regret, leading to sequential behavioral outcomes.

Using a scenario-based experimental study, 344 qualified questionnaires were collected. Univariate ANOVA and multiple linear regression analyses were implemented.

The results of this study reveal that action regret is more intense than inaction regret during the choice-making phase; dining companion negative feedback intensifies focal customer’s regret. The significance of the information source on regret disappeared when only one party reported negative feedback; conversely, when two parties in the co-consumption experience revealed negative feedback, the relationship between information source of choice and regret was sustained.

The nature of scenario-based design may lack realism. Thus, more field experiments are encouraged to test the propositions further. This research enhances our understanding of gastronomic experiences in a negative disconfirmation context, drawing upon action/inaction regret theory, attribution theory and the expectancy disconfirmation model.

From a triad relationship perspective, this study provides valuable input on who or what will be attributed to the issues when encountering a food and wine sensory failure. Additionally, insightful recommendations are supplied on avoiding the possibility of inducing the experience of regret and how practitioners can increase the potential for a memorable dining experience.

To the best of the authors’ knowledge, this is the first study that enriched the existing knowledge of regrettable dining experiences relating to information sources and social influence.

The study aims to estimate the short- and long-run effects of monetary policy on residential property prices in South Africa. Over the past decades, there has been a monetary policy shift, from targeting money supply and exchange rate to inflation. The shifts have affected residential property market dynamics.

The Johansen cointegration approach was used to estimate the effects of changes in monetary policy proxies on residential property prices using quarterly data from 1980 to 2022.

Mortgage finance and economic growth have a significant positive long-run effect on residential property prices. The consumer price index, the inflation targeting framework, interest rates and exchange rates have a significant negative long-run effect on residential property prices. The Granger causality test has depicted that exchange rate significantly influences residential property prices in the short run, and interest rates, inflation targeting framework, gross domestic product, money supply consumer price index and exchange rate can quickly return to equilibrium when they are in disequilibrium.

There are limited arguments whether the inflation targeting monetary policy framework in South Africa has prevented residential property market boom and bust scenarios. The study has found that the implementation of inflation targeting framework has successfully reduced booms in residential property prices in South Africa.

The use of structured literature review methods like bibliometric analysis is growing in the management fields, but there is limited knowledge on how they can be facilitated by technology. Hence, we conducted a broad overview of software tools, their roles, and limitations in structured (bibliometric) literature reviewing activities. Subsequently, we show that several software tools are freely available to aid in searching the literature, identifying/ extracting relevant publications, screening/assessing quality of the extracted data, and performing analyses to generate insights from the literature. However, their applications may be confronted with several challenges such as limited analytical and functional capabilities, inadequate technological skills of researchers, and the fact that the researcher's insights are still needed to generate compelling conclusions from the results produced by software tools. Consequently, we contribute toward advancing the methodologies for performing structured reviews by providing a comprehensive and updated overview of the knowledge base of key technological software tools and the conduct of structured or bibliometric literature reviews.

Using visual materials to understand a social object requires the researcher to know that object's purpose, and this is true whether the object is an artifact, a restricted event, a small social world, or something as massive as the modern city. I argue that the purpose of the city as a settlement is driven by the need to safely sleep in peace at night while satisfying other basic biophysical needs during the day as conveniently as possible. An examination of these needs identifies 10 functional prerequisites for human settlement, entangling its inhabitants in involuntary community with entities and events other than themselves, whether they like it or not. In addition, the rise of the modern city exacerbates the challenge of living in a reluctant community and pressures its inhabitants to come to terms with the consequences for how these relationships affect daily life. I highlight nine challenges posed as questions that have been particularly salient in American urban history since the mid-nineteenth century. How these challenges have been addressed indicates not only what it takes to make a modern city a settlement suitable for satisfying human needs, but also just how deeply invested its residents are in making the city work. Finally, the 10 functional prerequisites and nine moral challenges not only provide a framework for researching the city, but also suggest a coherent outline for imagining a “shooting script” or guide for conducting visual research.

Measuring the diffusion of protests, or more generally, the diffusion of events, is an ongoing task in social sciences. This paper proposes an inter-event approach to study what types of protests tend to diffuse or decline. We develop a standardized, five-step procedure to measure what we define as “event diffusion momentum” (EDM): (1) employ event-based data containing information on the time, location, and features of each protest; (2) define the temporal and spatial ranges of interest; (3) for each observation, count the number of events before and after it within the defined ranges; (4) predict the numbers of post-event and pre-event protests with appropriate count models; (5) calculate the ratios of predicted values for each predictor and confidence intervals using the delta method. The ratio is the EDM. Applying this method to Dynamics of Collective Action (DoCA) data, we identify several micro- and macro-level factors associated with protest diffusion in the United States, 1960–1995. We conclude with the implications and generalizability of the proposed method.

This study aims to examine the role of hope and hate in political leaders’ messages in influencing liberals versus conservatives’ social-distancing behavior during the COVID-19 pandemic. Given the increasing political partisanship across the world today, using the appropriate message framing has important implications for social and public policy.

The authors use two Natural Language Processing (NLP) methods – a pretrained package (HateSonar) and a classifier built to implement our supervised neural network-based model architecture using RoBERTa – to analyze 61,466 tweets by each US state’s governor and two senators with the goal of examining the association between message factors invoking hate and hope and increased or decreased social distancing from March to May 2020. The authors examine individuals’ social-distancing behaviors (the amount of nonessential driving undertaken) using data from 3,047 US counties between March 13 and May 31, 2020, as reported by Google COVID-19 Community Mobility Reports and the New York Times repository of COVID-19 data.

The results show that for conservative state leaders, the use of hate increases nonessential driving of state residents. However, when these leaders use hope in their speech, nonessential driving of state residents decreases. For liberal state leaders, the use of hate displays a directionally different result as compared to their conservative counterparts.

Amid the emergence of new analytic techniques and novel data sources, the findings demonstrate that the use of global positioning systems data and social media analysis can provide valuable and precise insights into individual behavior. They also contribute to the literature on political ideology and emotion by demonstrating the use of specific emotion appeals in targeting specific consumer segments based on their political ideology.

The findings have significant implications for policymakers and public health officials regarding the importance of considering partisanship when developing and implementing public health policies. As partisanship continues to increase, applying the appropriate emotion appeal in messages will become increasingly crucial. The findings can help marketers and policymakers develop more effective social marketing campaigns by tailoring specific appeals given the political identity of the consumer.

Using Neural NLP methods, this study identifies the specific factors linking social media messaging from political leaders and increased compliance with health directives in a partisan population.

This essay takes issue with the incommensurability thesis, which assumes that meaningful research work across different paradigms cannot occur. Could it be that the thesis understates the case for meaningful relationships to develop across paradigms? Is it possible that researchers can authentically and rewardingly collaborate across paradigms and create joint studies published in established journals?

Based on the observation that interparadigmatic research exists, the authors investigate two questions. How is interparadigmatic research expressed in the accounting research literature? How can we comprehend the process that underlies the development and publication of interparadigmatic research, focusing on cohabitation involving the positivist and interpretive paradigms of research?

To deal with the first question, the authors focus on two interparadigmatic articles: Greenwood et al. (2002) and Paugam et al. (2021). The authors find each article showcases a dominant paradigm – whereas the role of the other paradigm is represented as secondary; that is, complementing and enriching the dominant paradigm. To address the second question, the authors rely especially on their involvement as coauthors of three interparadigmatic studies, published between 2019 and 2022 in FT50 journals. The authors’ analysis brings to the fore a range of facilitators that fit their experiences, such as the development of cross-paradigmatic agreement within the authorship to cope with the complexity surrounding the object of study, the crafting of methodological compromises (e.g. regarding the number of documents to analyze) and the strategizing that the authorship enacted in dealing with journal gatekeepers.

From the authors’ experiences, they develop a model, which provides a tentative template to make sense of the process by which interparadigmatic research takes place. The model highlights the role of what the authors call “epistemic mediation” in producing interparadigmatic studies.