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This chapter provides insights into the distribution challenges faced by alternative food networks (AFNs) in Japan. Consumers in Japan are showing increasing interest in supporting and buying directly from farmers, reflecting a growing demand for local food production and consumption. This trend parallels the increasing popularity of AFNs which are often touted as distribution models that seek to reconfigure the relationship between producers and consumers. Although AFNs are defined as a bottom-up response to the unsustainable nature of the industrial food system and the exploitative trade relations that are embedded within global food supply chains, there is little in the literature regarding challenges that emerge when scaling AFNs. This chapter focuses on the distribution challenges that emerge for AFN models that exist outside of direct market transactions, by comparing AFN models in Japan with a local wholesale market system that exists within the conventional, mainstream food system. Based on an analysis of the nuances and complexities that AFNs face in coordinating aggregation and distribution, we argue that the promotion of local food systems can also benefit existing conventional food systems, by leveraging the infrastructure of local wholesale markets. The distribution logistics and fundamentals of parity pricing from the wholesale market system would enable AFNs in Japan to establish a more accessible and sustainable food system. Using four case studies, including a local wholesale-market and three AFN models that distribute agricultural products from rural to rural, and rural to urban areas located in the Kansai region of Japan, we deepen the discussion of how small-scale farmers and their involvement in AFNs can better support sustainable food system transformation.

The benefits of Nitraclean I nitrogen inerted reflow soldering are well documented. However, there has been some debate as to the maximum oxygen level that can be tolerated by different types of paste if those benefits are to be realised. It is demonstrated that, for all paste types, solder balls decrease and the spread factor increases with increasing oxygen level, but that it has little effect on either joint strength or microstructure. It is concluded that for RMApastes a maximum oxygen level of 1000 ppm is required and that for low residue pastes the level needs to be reduced to 200 ppm for optimum results.

The purpose of this paper is to consider reconstructions of potential 2D fields from discrete measurements. Two potential processes are addressed, steady flow and heat conduction. In the first case, the flow speed and streamlines are determined from the discrete data on flow directions, in the second case, the temperature and flux are recovered from temperature measurements at discrete points.

The method employs the Trefftz element principle and the collocation. The domain is seen as a combination of elements, where the solution is sought as a linear holomorphic function a priori satisfying the governing equations. Continuity of piecewise holomorphic functions is imposed at collocation points located on the element interfaces. These form the first group of equations. The second group of equations is formed by addressing the measured data, therefore the matrix coefficients may reflect experimental errors. In the case of fluid flow, all equations are homogeneous, therefore one normalising equation is added, which provides existence of a non‐trivial solution. The system is over‐determined; it is solved by the least squares method.

For the heat flow problem, the determination of heat flux is unique, while for the fluid flow, the determined streamlines are unique and the determination of speed contains one free multiplicative positive constant. Several examples are presented to illustrate the methods and investigate their efficiency and sensitivity to noisy data.

The approach can be applied to other 2D potential problems.

The paper studies two novel formulations of the reconstruction problem for 2D potential fields. It is shown that the suggested numerical method is able to deal directly with discrete experimental data.

The purpose of this paper is to study the responses of young consumers to suspected covert and overt product-brand recommendations in a blog.

Experimental design was applied to investigate the effect of covert and overt marketing on young consumers’ perceptions of blogger credibility and their behavioural intentions.

Overt marketing had a negative effect on behavioural intentions, such as future interest in the blogger, intention to engage in word-of-mouth, and purchase intention. Covert marketing did not affect the intended behaviour. Neither covert nor overt marketing influenced the blogger’s credibility.

The study was delimited to a small sample; one blog, one type of product recommendation, and a well-known brand. Young, well-educated consumers with experience in reading blogs may be able to filter the brand recommendations and focus on the content of the blog.

This study has implications for bloggers, companies, and policy makers. Although overt marketing is the most open and the recommended form of blog marketing, the study showed that overt marketing has negative effects. Therefore, bloggers need to carefully consider how they present a sponsorship.

The study makes three important contributions. First, it answers the call for research on consumer reactions to covert (deceptive) and overt marketing tactics. Second, it contributes to blog marketing research by studying a case of suspected covert marketing where consumers do not know whether the blog is sponsored or not. Third, the study contributes to knowledge around young consumers, demonstrating that covert and overt tactics do not affect blogger credibility.

Carotid artery is often associated with plaque deposition because of its shape and associated flow features. The shape of stenosed bifurcation is characterised by bifurcation angle (ß), planarity angle (α) and severity of stenosis (b). In the present work, three-dimensional numerical computations have been performed to analyse the effect of these geometrical parameters of carotid bifurcation on the characteristics of flow.

Governing equations of this study were solved using ANSYS Fluent 20.1 and the blood flow was considered as laminar, pulsatile and non-Newtonian. Instantaneous flow behaviour has been illustrated using vorticity, velocity and helicity contours, whereas the time-averaged wall shear stress (τw¯) and oscillatory shear index (OSI) quantify the time-averaged behaviour.

The recirculation zone and secondary flow are ascertained to be stronger for higher bifurcation angle as compared to the lower bifurcation angle. Strength of the secondary flow is found to reduce with increase in α from 0° to 10°, whereas it grows as α varies from 10° to 20°. For higher bifurcation angles, τw¯ is lower than 2 Pa and OSI is greater than 0.2 on the outer walls. Similar observations were made for τw¯ and OSI distribution on bottom wall in non-planar cases, which predicted atherogenic locations.

The values for ß were taken as 30°, 45°, 60° and 75°, whereas for α, range of 0°–20° was chosen. The stenosis was considered on the outer wall of internal carotid artery and its severity was considered within the range of 0%–60%.

This paper aims to evaluate the effect of depolymerised glucomannan in regulating blood lipid and glucose concentrations.

Twenty adult volunteers were recruited. Blood samples were taken at Day 0. The volunteers consumed drinks containing 3.0 g active glucomannan hydrolysates (AMH) for 14 days, after which time blood samples were retaken (Day 15). Blood samples were analysed to determine the blood lipid and glucose concentrations.

The average fasting blood glucose at the start of the trial was 2.54 mmol/L but reduced slightly to 2.49 mmol/L after consumption of the glucomannan. The total average cholesterol at the start of the trial was higher (6.69 mmol/L) than desirable ( < 5.0 mmol/L). This was reduced after consuming the glucomannan to 6.44 mmol/L (3.74 per cent). The triglyceride content was also higher initially than recommended (2.88 mmol/L) but was reduced by 11.5 per cent. The high-density lipoprotein (HDL) was within the desirable range before and after consumption (1.57 and 1.52 mmol/L, respectively), while the average low-density lipoprotein (LDL) was higher than recommended ( < 3.0 mmol/L), representing 4.55 mmol/L and 4.40 mmol/L before and after consumption, respectively. Both parameters were reduced by over 3.0 per cent. The consumption of the glucomannan hydrolysates also reduced the total cholesterol/HDL and LDL/HDL ratios.

The AMH was effective in lowering blood cholesterol and glucose concentrations. Consumption of such carbohydrates could prove useful for these physiological disorders. Further studies are desirable to characterise the exact mechanism.

COVID-19 has generated unprecedented circumstances with a tremendous impact on the global community. The academic community has also been affected by the current pandemic, with strategy and management researchers now required to adapt elements of their research process from study design through to data collection and analysis. This chapter makes a contribution to the research methods literature by documenting the process of adapting research in light of rapidly changing circumstances, using vignettes of doctoral students from around the world. In sharing their experience of shifting from the initially proposed methodologies to their modified or completely new methodologies, they demonstrate the critical importance of adaptability in research. In doing so, this chapter draws on core literature of adaptation and conducting research in times of crises, aiming to provide key learnings, methodological tips and a “story of hope” for scholars who may be faced with similar challenges in the future.

The purpose of this paper is to study consumer engagement as a dynamic, iterative process in the context of TV shows. A theoretical framework involving the central constructs of brand actions, customer engagement behaviors (CEBs), and consumption is proposed. Brand actions of TV shows include advertising and firm-generated content (FGC) on social media. CEBs include volume, sentiment, and richness of user-generated content (UGC) on social media. Consumption comprises live and time-shifted TV viewing.

The authors study 31 new TV shows introduced in 2015. Consistent with the ecosystem framework, a simultaneous system of equations approach is adopted to analyze data from a US Cable TV provider, Kantar Media, and Twitter.

The findings show that advertising efforts initiated by the TV show have a positive effect on time-shifted viewing, but a negative effect on live viewing; tweets posted by the TV show (FGC) have a negative effect on time-shifted viewing, but no effect on live viewing; and negative sentiment from tweets posted by viewers (UGC) reduces time-shifted viewing, but increases live viewing.

Content creators and TV networks are faced with the daunting challenge of retaining their audiences in a media-fragmented world. Whereas most studies on engagement have focused on static firm-customer relationships, this study examines engagement from a dynamic, multi-agent perspective by studying interrelationships among brand actions, CEBs, and consumption over time. Accordingly, this study can help brands to quantify the effectiveness of their engagement efforts in terms of encouraging CEBs and eliciting specific TV consumption behaviors.

Consumer expectation not only influences purchase decision but also post-purchase satisfaction and word-of-mouth (WOM). This study aims to develop theories of initial expectation management by suggesting when it is desirable for new products to raise or lower consumer expectations. It systematically examines the interplay of product value and consumer heterogeneity in the dynamic process of new product diffusion under competition.

Drawing on traditional diffusion and choice models, this study develops an agent-based model to formalize and analyze how consumers’ initial expectations of a new product influence the interdependent processes of product sales, consumer satisfaction and WOM. The simulation analyses in controlled settings help understand the underlying mechanisms in a stepwise manner.

The results show that, although the optimal strategy for low-value products is to induce consumer expectations higher than product value, high-value products are better introduced with expectations formed close to it. The results also highlight an important drawback of “under-promising” strategies in reducing the base and volume of WOM. Further, the analysis illustrates how consumer heterogeneities in product valuation and initial expectation affect the effectiveness of expectation management. For high-value products, both heterogeneities reduce the effectiveness of the optimal strategy. For low-value products, however, value heterogeneity enhances the effectiveness, whereas expectation heterogeneity reduces it.

Firms introducing new products should be sensitive to how consumers value the product and form expectations about it. Different from firms that must rely on aggressive advertising to sell inferior products by building up high expectations, those with superior products can rely more on the power of consumer WOM, which is much less costly and thus gives them a competitive advantage. Firms should also pay attention to how diversified the consumers are in product valuation and expectation. The expectation management strategy is more effective when consumers form more similar expectations. Inferior firms may leverage this mechanism to neutralize their disadvantages.

The articulated mechanisms help push forward the research on new product diffusion and consumer expectation management. To the best of the authors’ knowledge, this is one of the first studies to systematically analyze the impact of consumer heterogeneity on the effectiveness of expectation management.