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This paper aims to examine how the customer can be better integrated into case-mix systems for primary healthcare. Case-mix is an established performance management tool in hospitals, and there is growing interest in its extensions into out-of-hospital healthcare.

Interviews with academics and clinicians are used to explore conceptual foundations for this area. A service-dominant logic perspective is used to problematize the roles of accounting in this complex setting.

The findings identify that a customer focus is embedded in current primary healthcare thinking, contrasting with the goods-dominant focus in hospitals. This paper identifies diverse objectives and coordinating networks of care as challenges for case-mix.

This paper breaks down the complexity of primary healthcare case-mix into two accounting roles: a “dialogue machine” to understand client objectives and a “learning machine” to understand clients’ networks of resources. The infancy of case-mix for primary healthcare means our interview sample is restricted to a small group of pioneers in the area, within a supply perspective.

Primary healthcare management is a priority area in New Zealand. The findings describe opportunities and challenges for the “dialogue” and “learning” roles of accounting. This paper discusses practical and ideological tensions to be resolved when integrating customers into case-mix systems.

This paper contributes to the limited literature on the use of case-mix accounting outside of hospitals, discussing the role of customers and networks of care. Findings contribute by describing the customer as both a source of, and a means to resolving, complexity.

Neuroimaging technologies such as electroencephalogram and magnetic resonance imaging allow us to analyze consumers’ brains in real time as they experience emotions. These technologies collect and integrate data on consumers’ brains for big data analytics. The purpose of this paper is to identify new opportunities and challenges for neuromarketing as an applied neuroscience.

The authors discuss conceptual and methodological contributions of neuromarketing based on studies that have employed neural approaches in market-related investigations, explaining the various tools and designs of neuromarketing research. The authors identify marketing-related questions to which neuroscientific approaches can make meaningful contributions, evaluating several challenges that lie ahead for neuromarketing.

The authors summarize the contributions of neuromarketing and discuss synergistic findings that neuromarketing has the potential to yield.

The authors ask: do consumers’ self-reported choices and their neural representations tell different stories?; what are the effects of subtle and peripheral marketing stimuli?; and can neuromarketing help to reveal the underlying causal mechanisms for perceptual and learning processes, such as motivation and emotions?

The authors identify marketing-related questions to which neuroscientific approaches can make meaningful contributions, evaluating several challenges that lie ahead for neuromarketing.

To the best of the authors’ knowledge, no current review has identified avenues for future research in neuromarketing and the emerging challenges that researchers may face. The current paper aims to update readers on what neuroscience and other psychophysiological measures have achieved, as well as what these tools have to offer in the field of marketing. The authors also aim to foster greater application of neuroscientific methods, beyond the more biased/post-test methods such as self-report studies, which currently exist in consumer research.

Filtroil had opened a new factory that was a merger between Shenzhen Filtroil and its supplier, Liu Li—whose own factory was on the verge of bankruptcy. But the supplier had begun making excessive demands and threatening to delay product shipment to the United States if his conditions were left unmet. The case reveals the options that could be taken to manage the situation. The case is suitable for use in organizational behavior, human resource management, and strategy classes at the MBA and executive education levels.

The purpose of this paper is to investigate the extent to which interdisciplinary (HASS, i.e. non-STEM) factors—in particular, accounting, stakeholder management and accountability—enable, influence and motivate large human exploration ventures, principally in maritime and space fields, utilizing Columbus’s and Chinese explorations of the 1400s as the primary setting.

The study analyzes archival data from narrative and interpretational history, including both academic and non-academic sources, that relate to two global historical events, the Columbus and Ming Chinese exploration eras (c. 1400–1500), as a parallel to the modern “Space Race”. Existing studies on pertinent HASS (Humanities and Social Sciences) and STEM (Science, Technology, Engineering and Mathematics) enablers, influencers and motivators are utilized in the analysis. The authors draw upon the concepts of stakeholder theory and the construct of accountability in their analysis.

Findings suggest that non-STEM considerations—politics, finance, accountability, culture, theology and others—played crucial roles in enabling Western Europe (Columbus) to reach the Americas before China or other global powers, demonstrating the pivotal importance of HASS factors in human advancements and exploration.

In seeking to answer those questions, this study identifies only those factors (HASS or STEM) that may support the success or failure in execution of the exploration and development of a region such as the New World or Space. Moreover, the study has the following limitation. Relative successes, failures, drivers and enablers of exploratory ventures are drawn almost exclusively from the documented historical records of the nations, entities and individuals (China and Europe) who conducted those ventures. A paucity of objective sources in some fields, and the need to set appropriate boundaries for the study, also necessitate such limitation.

It is observable that many of those HASS factors also appear to have been influencers in modern era Space projects. For Apollo and Soyuz, success factors such as the relative economics of USA and USSR, their political ideologies, accountabilities and organizational priorities have clear echoes. What the successful voyages of Columbus and Apollo also have in common is an appetite to take risks for an uncertain return, whether as sponsor or voyager; an understanding of financial management and benefits measurement, and a leadership (Isabella I, John F. Kennedy) possessing a vision, ideology and governmental apparatus to further the venture’s goals.

Whilst various historical studies have examined influences behind the oceangoing explorations of the 1400s and the colonization of the “New World”, this article takes an original approach of analyzing those motivations and other factors collectively, in interdisciplinary terms (HASS and STEM). This approach also has the potential to provide a novel method of examining accountability and performance in modern exploratory ventures, such as crewed space missions.

This article reports the results from a panel discussion held at the 2019 European Conference on Information Systems (ECIS) on the use of technology-based autonomous agents in collaborative work.

The panelists (Drs Izak Benbasat, Paul Benjamin Lowry, Stefan Morana, and Stefan Seidel) presented ideas related to affective and cognitive implications of using autonomous technology-based agents in terms of (1) emotional connection with these agents, (2) decision-making, and (3) knowledge and learning in settings with autonomous agents. These ideas provided the basis for a moderated panel discussion (the moderators were Drs Isabella Seeber and Lena Waizenegger), during which the initial position statements were elaborated on and additional issues were raised.

Through the discussion, a set of additional issues were identified. These issues related to (1) the design of autonomous technology-based agents in terms of human–machine workplace configurations, as well as transparency and explainability, and (2) the unintended consequences of using autonomous technology-based agents in terms of de-evolution of social interaction, prioritization of machine teammates, psychological health, and biased algorithms.

Key issues related to the affective and cognitive implications of using autonomous technology-based agents, design issues, and unintended consequences highlight key contemporary research challenges that allow researchers in this area to leverage compelling questions that can guide further research in this field.

The aim of this study was to evaluate the effect of ultrasound (US) treatment on the postharvest of “Isabella” grapes and the consistency of the obtained results regarding the composition of anthocyanins in grape juice over three successive harvest years using a combination of analytical techniques.

Juices produced from “Isabella” grapes sonicated for different durations (3, 5, 7 and 10 min) were analysed. The grapes were harvested and sonicated in 2013, 2014 and 2015, and each treated sample was stored for 1, 3 and 5 days in order to verify the time necessary for the development of the US response. The juices were analysed through physicochemical analysis (total monomeric anthocyanins). The anthocyanin profiles were quantified and identified using high performance liquid chromatography coupled to photodiode array and mass spectrometry detectors (HPLC-PDA-MSn).

The results demonstrated the potential of US in improving the quality of grape juice. In all three harvests, it was observed that the treatments were effective in increasing the concentration of anthocyanins. For the 2013 harvest, the application of US for 5 min led to a 103% increase in juice pigments. However, the US response profile varied among the three harvests, indicating that the US effect was influenced by the ripening conditions of the fruit. In total, 33 anthocyanins were identified in the grape juice. For the first time, peonidin-3-p-coumaroyl glucoside-5-glucoside was identified in “Isabella” juice.

The results of this study validated US treatment as a simple and effective physical method that can be used as an alternative technology for improving the general quality of products such as juice by increasing the pigment concentrations that are linked to the colour and antioxidant potential of drinks. Moreover, the results demonstrate that US treatment may be less effective in the case of a sample with distinct phenolic maturation.

While qualitative work has a long tradition in the strategy field and has recently regained popularity, we have not paused to take stock of how such work offers contributions. We address this oversight with a review of qualitative studies of strategy published in five top-tier journals over an extended period of 15 years (2003–2017). In an attempt to organize the field, we develop an empirically grounded organizing framework. We identify 12 designs that are evident in the literature, or “designs-in-use” as we call them. Acknowledging important similarities and differences between the various approaches to qualitative strategy research (QSR), we group these designs into three “families” based on their philosophical orientation. We use these designs and families to identify trends in QSR. We then engage those trends to orient the future development of qualitative methods in the strategy field.

The purpose of this paper is to investigate the emotional contagion theory in print ads, and expand the literature of smiling to different type of smiles and gender congruency. Emotional contagion happens when an emotion is transferred from a sender to a receiver by the synchronization of emotions from the emitter. Drawing on emotional contagion theory, the authors expand this concept and propose that smiles in static facial expressions influence product evaluation. They suggest that false smiles do not have the same impact as genuine smiles on product evaluation, and the congruence between the model gender–product in a static ad and the gender of the viewer moderates the effects.

In Experiment 1, subjects were randomly assigned to view one of the two ad treatments to guard against systematic error (e.g. bias). In Experiment 2, it was investigated whether viewing a static ad featuring a model with a false smile can result in a positive product evaluation as was the case with genuine smiles (H3). In Experiment 3, it was assumed that when consumers evaluate an ad featuring a smiling face, the facial expression influences product evaluation, and this influence is moderated by the congruence between the gender of the ad viewer and the product H gender of the model in the ad.

Across three experiments, the authors found that the model’s facial expression influenced the product evaluation. Second, they supported the association between a model’s facial expression and mimicry synchronization. Third, they showed that genuine smiles have a higher impact on product evaluation than false smiles. This novel result enlarges the research on genuine smiles to include false smiles. Fourth, the authors supported the gender–product congruence effect in that the gender of the ad’s reader and the model have a moderating effect on the relationship between the model’s facial expression and the reader’s product evaluation.

Marketing managers would benefit from understanding that genuine smiles can encourage positive emotions on the part of consumers via emotional contagion, which would be very useful to create a positive effect on products. The authors improved upon previous psychological theory (Gunnery et al., 2013; Hennig-Thurau et al., 2006) showing that a genuine smile results in higher evaluation scores of products presented in static ads. The theoretical explanation for this effect is the genuine smile, which involves contraction of both zygomatic major and orbicularis oculi muscles. These facial muscles can be better perceived and transmit positive emotions (Hennig-Thurau et al., 2006).

The purpose of this study is to empirically explore the influence of supply chain information integration (SCII) on supply chain innovativeness (SCI) and supply chain resilience (SCRE).

Data from 403 manufacturing companies in Uganda were analyzed using Analysis of Moments of Structures version 27. Unmeasured common latent factors were used to minimize the bias of common methods.

SCII, SCI and SCRE have significant positive relationships. About 41% of SCII and SCRE are partially mediated by SCI.

Considering variations in perception of SCRE, the cross-sectional nature of the study limits generalizability and transferability. Experiments and interviews are recommended to explore differences between firms in SCRE.

SCII and SCI capabilities buffer a firm’s SCRE.

This study establishes SCI as a mediator between SCII and SCRE by studying manufacturing firms in a developing country context.

Marketers are increasing their use of digital strategies and prioritizing digital tactics, although the effectiveness digital video advertising (DVA) has not been examined empirically. The purpose of this research is to suggest that it is useful for advertisers to consider theories of the past to understand the link between product, advertising format and message processing.

To examine DVA effectiveness, this study utilized a 2-product type (utilitarian vs hedonic) × 2-product involvement (low vs high) x 2-platform (laptop vs mobile) mixed-design. Participants were recruited from a research company, who invited members of their panel to participate in an online experiment.

DVA for hedonic products resulted in stronger attitudes toward the ad and brand, and intentions to purchase. DVA for low involvement products resulted in stronger purchase intentions and likelihood to opt-in for more information. Moreover, there was an interaction between product category and involvement across all five measures of DVA effectiveness.

Like TV commercials, DVA is more effective when used with low involvement, hedonic products than with high involvement, utilitarian products. Additionally, the device on which the advertisement is viewed impacts the effectiveness of DVA.

Companies promoting high-involvement utilitarian products may consider alternative advertising strategies (e.g. MDAs, apps, websites and advergames), as DVA may not be the most effective ad format.

As technology continues to develop and marketers continue to pursue growing numbers of consumers through digital means and on mobile devices, understanding how device type influences advertising effectiveness is important for media strategy, message placement and marketing metrics. This research takes one step in that direction.