Consumers of insect-based foods: a cross-cultural study between Belgium and Gabon.

Human consumption of insects has previously been examined in cross-cultural studies. However, such studies rarely include African countries and willingness-to-pay for insect-based food has never been assessed in cross-cultural studies. The current study presents a cross-cultural study conducted with 409 urban dwellers from Belgium (191 males; 218 females) and 412 urban dwellers from Gabon (219 males; 193 females). Each respondent was surveyed with a questionnaire following the Knowledge, Attitude, and Practices model and included questions relative to willingness-to-pay for 2 insect-based foods (insect baguette and insect burger). More than 90% of respondents from both countries were familiar with edible insects. However, acceptance of entomophagy was lower in respondents from Gabon than in respondents from Belgium. Intercultural differences were also recorded between Gabonese ethnic groups. Most respondents who accepted entomophagy were willing to eat the insect baguette and/or the insect burger. These findings confirm that entomophagy could further develop in Belgium and Gabon. Willingness-to-pay varied between countries and between insect-based foods. In Belgium, the average prices of comparable conventional foods (i.e., same foods but without insects) were lower than the average willingness-to-pay for insect-based foods. In Gabon, respondents were not willing to pay extra for insect-based foods. Setting the right price for insect-based foods is a necessary step to promote more frequent insect consumption.

Prediction of robo-advisory acceptance in banking services using tree-based algorithms.

The banking sector is increasingly recognising the need to implement robo-advisory. The introduction of this service may lead to increased efficiency of banks, improved quality of customer service, and a strengthened image of banks as innovative institutions. Robo-advisory uses data relating to customers, their behaviors and preferences obtained by banks from various communication channels. In the research carried out in the work, an attempt was made to obtain an answer to the question whether the data collected by banks can also be used to determine the degree of consumer interest in this type of service. This is important because the identification of customers interested in the service will allow banks to direct a properly prepared message to a selected group of addressees, increasing the effectiveness of their promotional activities. The aim of the article is to construct and examine the effectiveness of predictive models of consumer acceptance of robo-advisory services provided by banks. Based on the authors' survey on the use of artificial intelligence technology in the banking sector in Poland, in this article we construct tree-based models to predict customers' attitudes towards using robo-advisory in banking services using, as predictors, their socio-demographic characteristics, behaviours and attitudes towards modern digital technologies, experience in using banking services, as well as trust towards banks. In our study, we use selected machine learning algorithms, including a decision tree and several tree-based ensemble models. We showed that constructed models allow to effectively predict consumer acceptance of robo-advisory services.

Comparison of Sales From Vending Machines With 4 Different Food and Beverage Messages: A Randomized Trial.

Importance: Point-of-sale food messaging can encourage healthier purchases, but no studies have directly compared multiple interventions in the field. Objective: To examine which of 4 food and beverage messages would increase healthier vending machine purchases. Design, Setting, and Participants: This randomized trial assessed 13 months (February 1, 2019, to February 29, 2020) of vending sales data from 267 machines and 1065 customer purchase assessments from vending machines on government property in Philadelphia, Pennsylvania. Data analysis was performed from March 5, 2020, to November 8, 2022. Interventions: Study interventions were 4 food and beverage messaging systems: (1) beverage tax posters encouraging healthy choices because of the Philadelphia tax on sweetened drinks; (2) green labels for healthy products; (3) traffic light labels: green (healthy), yellow (moderately healthy), or red (unhealthy); or (4) physical activity equivalent labels (minutes of activity to metabolize product calories). Main Outcomes and Measures: Sales data were analyzed separately for beverages and snacks. The main outcomes analyzed at the transaction level were calories sold and the health status (using traffic light criteria) of each item sold. Additional outcomes were analyzed at the monthly machine level: total units sold, calories sold, and units of each health status sold. The customer purchase assessment outcome was calories purchased per vending trip. Results: Monthly sales data came from 150 beverage and 117 snack vending machines, whereas 1065 customers (558 [52%] male) contributed purchase assessment data. Traffic light labels led to a 30% decrease in the mean monthly number of unhealthy beverages sold (mean ratio [MR], 0.70; 95% CI, 0.55-0.88) compared with beverage tax posters. Physical activity labels led to a 34% (MR, 0.66; 95% CI, 0.51-0.87) reduction in the number of unhealthy beverages sold at the machine level and 35% (MR, 0.65; 95% CI, 0.50-0.86) reduction in mean calories sold. Traffic light labels also led to a 30-calorie reduction (b = -30.46; 95% CI, -49.36 to -11.56) per customer trip in the customer purchase analyses compared to physical activity labels. There were very few significant differences for snack machines. Conclusions and Relevance: In this 13-month randomized trial of 267 vending machines, the traffic light and physical activity labels encouraged healthier beverage purchases, but no change in snack sales, compared with a beverage tax poster. Corporations and governments should consider such labeling approaches to promote healthier beverage choices. Trial Registration: ClinicalTrials.gov Identifier: NCT06260176.

How does the consumer choose a restaurant? An overview of the determinants of consumer satisfaction.

The failure rate of restaurants is high in many countries, primarily because of the complex relationships between services and customers. Therefore, improving restaurant customer experience is a significant challenge for entrepreneurs. This multi-dimensional experience encompasses several aspects that may or may not be related to food consumption. Many restaurant owners can avoid bankruptcy if they understand theories of service quality and the factors involved. The objective of this research is to identify and summarize known important factors that lead consumers to choose, patronize or be satisfied with a restaurant. The research question for this review is: What are the important factors that influence consumers (population) to choose, patronize, or be satisfied with a restaurant  (outcome)? Therefore, we conducted an integrative review to address this question. We included 111 studies and identified 117 factors/indicators related to consumer satisfaction and restaurant choices. First, we grouped these factors into four categories based on the Big Four restaurant attributes: atmosphere, food, service, and price & value. Four categories emerged based on consumer- and business-related aspects: behavioral intentions, values and beliefs, experiences, and companies. The "food" category is the most important factor in consumer choice and experience. However, the importance of this category may vary depending on the situation (e.g., lunch, dinner, weekends, weekdays) and should be carefully considered, as all categories were relevant but intricate. Such factors are associated with many positive outcomes, such as satisfaction, loyalty, brand love, patronization, and intent to visit and revisit.

Minimum sample size for estimating the Net Promoter Score under a Bayesian approach.

At some moment in our lives, we are probably faced with the following question: How likely is it that you would recommend [company X] to a friend or colleague?. This question is related to the Net Promoter Score (NPS), a simple measure used by several companies as indicator of customer loyalty. Even though it is a well-known measure in the business world, studies that address the statistical properties or the sample size determination problem related to this measure are still scarce. We adopt a Bayesian approach to provide point and interval estimators for the NPS and discuss the determination of the sample size. Computational tools were implemented to use this methodology in practice. An illustrative example with data from financial services is also presented.

The effect of information provision on consumers' risk perceptions of, support for a ban, and behavioral intention towards the preventive use of antibiotics in food animals.

BACKGROUND: Antibiotics have been widely used in feed and drinking water for food animals to prevent them from getting sick. Such preventive use of antibiotics has become a contributor to increasing antibiotic resistance and thus poses threats to human health. However, consumers have little knowledge about this practice and the associated health risks of increasing transmission of antibiotic residues and antibiotic resistant bacteria. This study aimed to examine the effect of information provision on consumers' risk perceptions, support for a ban, and behavioral intention regarding the preventive use of antibiotics in food animals. Especially, the study sought to test two competing hypotheses which were informed by two theoretical perspectives of fear appeal theory - the linear model and the plateau effect model. The former suggested that providing information on the health risks of both antibiotic residues and antibiotic resistant bacteria would have a stronger effect compared to providing information on only one of them, while the latter posited that providing information on both risks might not have additional influence, as the effect of information on either risk could reach the plateau. METHODS: An experimental study with four conditions was conducted where participants read different information on the health risks associated with the preventive use first and then answered questions regarding consumers' risk perceptions, support for a ban, and behavioral intention regarding the preventive use. Condition 1 was the control condition, where basic information about antibiotics, antibiotic resistance, and the preventive use was provided. Condition 2 and Condition 3 further added information on the health risk of antibiotic residues (Condition 2) and antibiotic resistant bacteria (Condition 3) due to the preventive use, respectively. Condition 4 provided all information contained in the first three conditions. RESULTS: The results showed that compared to participants in the control condition, participants in Conditions 2-4 reported higher risk perceptions, stronger support for a ban on the preventive use, and a higher intention to buy meat produced without the preventive use of antibiotics. However, there were no significant differences in these factors between Conditions 2-4, indicating that providing information on the health risk of either antibiotic residues, or antibiotic resistant bacteria, or both, has similar effect on these variables. That is, the hypothesis based on the plateau effect model was supported. CONCLUSIONS: The findings suggested that informing the public with the health risk of either antibiotic residues or antibiotic resistant bacteria associated with the preventive use is effective enough to reach plateau effect in increasing risk perceptions, support for a ban, and behavioral intention, which has important implications for policymakers and livestock industries to develop effective communication strategies to promote responsible antibiotic use in food animals.

Microplastics in seafood: Consumer preferences and valuation for mitigation technologies.

Microplastics, an emerging pollutant, have garnered widespread attention due to potential repercussions on human health and the environment. Given the critical role of seafood in food security, growing concerns about microplastics might be detrimental to meeting future global food demand. This study employed a discrete choice experiment to investigate Chilean consumers' preferences for technology aimed at mitigating microplastic levels in mussels. Using a between-subjects design with information treatments, we examined the impact of informing consumers about potential human health and environmental effects linked to microplastics pollution on their valuation for the technology. We found that the information treatments increased consumers' willingness to pay for mussels. Specifically, consumers were willing to pay a premium of around US$ 4 for 250 g of mussel meat with a 90 % depuration efficiency certification. The provision of health impact information increased the price premium by 56 %, while the provision of environmental information increased it by 21 %. Furthermore, combined health and environmental information significantly increased the probability of non-purchasing behavior by 22.8 % and the risk perception of microplastics for human health by 5.8 %. These results emphasized the critical role of information in shaping consumer preferences and provided evidence for validating investment in research and development related to microplastic pollution mitigation measures.

Online consumer testing beyond central location tests: A case study for brewed coffee.

Due to the constraints of the COVID-19 pandemic, conducting sensory evaluations requiring direct interactions became challenging. In response, researchers have been motivated to devise non-face-to-face testing methods as alternatives. This study aimed to compare two non-face-to-face home-use tests (HUT) with the traditional face-to-face central location test (CLT). Both HUTs involved online recruitment and sample delivery to participants' homes. One HUT provided a written protocol with no direct interaction (contactless HUT; C-HUT), whereas the other included an online meeting with a researcher for live guidance (online HUT; O-HUT). Four coffee samples were evaluated on the basis of liking and sensory and emotional attributes. The comparison between CLT and O-HUT showed RV coefficients of 0.92, 0.93, and 0.98 (P < 0.05) for liking and sensory and emotional attributes, respectively. In addition, based on the RV coefficient, the CLT results showed a significantly greater similarity to those of O-HUT compared to those of C-HUT. The O-HUT also outperformed the C-HUT in its ability to significantly discriminate between samples. Hence, real-time interactions between researchers and participants, as facilitated by O-HUT, may be more suitable in certain scenarios compared to C-HUT, which relies solely on a written protocol. Overall, these findings suggest that C-HUT and O-HUT are suitable methods for collecting sensory data and overcoming geographic and face-to-face contact limitations, providing greater flexibility, and reducing the time and cost associated with traditional sensory evaluations.

Cognitive influence on the evaluation of wine: The impact and assessment of price.

Price is one of the most important product-extrinsic factors influencing the consumers' response to, and presumably experience of, wine. This is ironic inasmuch as the research tends to highlight either no, or else even a slightly negative relationship between price and liking in typical consumers when they taste wines blind. Nevertheless, providing price information, especially when it is high leads to enhanced taste ratings, especially for low to mid-priced wines. Similarly, bottle and label information (that makes a wine look cheaper or more expensive) has also been shown to influence the evaluation of wine by regular consumers (i.e., non-experts). Indeed, product-extrinsic information often appears to outweigh the product-intrinsic sensory attributes of wine in people's hedonic (in not necessarily in their sensory-discriminative) ratings. Such findings therefore highlight the importance of cognitive as compared to direct sensory cues in the evaluation of wine. This narrative historical review critically reviews and evaluates the published experimental literature that has examined the impact of price on wine ratings.

Stress factors and food purchase prioritization during the pandemic of coronavirus disease 2019.

BACKGROUND: The pandemic of coronavirus disease 2019 (COVID-19) pandemic confinement has an impact on stress levels, which causes changes in food purchase and consumption behaviors. The objective of this study is to associate food purchase prioritization with stress level during the COVID-19 pandemic confinement. METHODS: Multicenter, observational and cross-sectional study, an online questionnaire that included data on sociodemographic variables, stress factors and food purchase prioritization was disseminated through digital platforms and social networks. RESULTS: A number of 6357 participants were included, of whom 83.6% were female, 56.3% were from the middle socioeconomic level, 71.2% had completed higher education and 78.3% had a job. At greater stress levels it was observed a higher prioritization of canned foods (Odds ratio (OR): 1.91, 95% CI: 1.56; 2.34), sweets (OR: 1.58, 95% CI: 1.06; 2.34) and flours (OR: 1.45, 95% CI: 1.25; 1.68). While lower stress levels are associated with nuts (OR: 0.75, 95% CI: 0.66; 0.85), vegetables (OR: 0.82, 95% CI: 0.72; 0.94), and fruits (OR: 0.90, 95% CI: 0.80; 1.01), after adjusting for confounders. CONCLUSIONS: There is an association between food purchase prioritization and stress level during the COVID-19 confinement. At greater stress levels, individuals purchase more food, both healthy and unhealthy. The later may have a negative impact on people's health, leading to or further aggravating malnutrition by excess and nutrition-related noncommunicable diseases.

Development of Health-Promoting Edible Cricket Products by Using Sensory Evaluation Techniques.

BACKGROUND: In the fields of food science and technology, sensory evaluation is extensively studied to assess personal perception and acceptability. However, studies on Thai consumers' personal perceptions of and acceptability of food products containing crickets have not been conducted. OBJECTIVES: The overall goal of this study was to find out how well-liked two food products containing house crickets were by Thai customers in good health regarding their sensory qualities. METHODS: The 3-point Just-About-Right (JAR) scale measured the foods' sensory characteristics, including thickness, color, odor, sweetness, and saltiness. Food product approval among consumers was assessed using the 9-point Hedonic scale. Nutrient density was measured using the nutrient-rich foods (NRF) index, highlighting the potential health benefits of these products. RESULTS: For every attribute, the goodness-of-fit score of the cricket puffed rice (CPR) was higher than 70%. The cricket-galangal chili paste (CGCP) received a score of greater than 70% for color and odor, but the sweetness was required more since it had a JAR score of 53.3 percent. The customer acceptance scores of CPR and CGCP were 6.63-7.60 and 6.60-7.50 on the 9-point Hedonic scale. The NRF indices of the CPR and CGCP were 19.19 and 20.44 (intermediate levels). CONCLUSION: There was no need for improvements in the cricket puffed rice product, but cricket-galangal chili paste should be improved. Further study on nutrition facts is required.

Effects of marketing claims on toddler food products on parents' product preferences, perceptions and purchasing intentions: an online experiment.

BACKGROUND: The retail market for toddler-specific packaged foods is growing. Many of these products are ultra-processed and high in nutrients of concern for health, yet marketed in ways that may make them appear wholesome. This study aims to assess parents' responses to claims on unhealthy, ultra-processed toddler food products and test whether removing such claims promotes more accurate product perceptions and healthier product preferences. METHODS: Parents of toddlers aged 12 to < 36 months (N = 838) were recruited for an online experiment testing four on-pack claim conditions: control (no claim); 'contains "good" ingredient'; 'free from "bad" ingredient'; and unregulated 'child-related' claim. Participants were randomly assigned to one condition, then viewed images of toddler food products that varied in nutrition content and the claims displayed. Participants completed tasks assessing product preferences (unhealthy product displaying claim vs. a healthier option with no claim, across four food categories (banana bars, strawberry snacks, blueberry yogurt snacks and veggie snacks)), purchase intentions and product perceptions. Poisson regression (count variable) and linear regression (continuous outcomes) analyses were employed to test for mean differences by marketing claim conditions. RESULTS: For the overall sample, brief exposure to 'free from "bad" ingredient' claims increased participant's intentions to purchase unhealthy food products for their toddlers, but there was no clear evidence that 'contains "good" ingredient' claims and 'child-related' claims significantly impacted parent's preferences, purchase intentions and perceptions of toddler foods. However, certain claims influenced particular parent subgroups. Notably, parents with three or more children chose more unhealthy products when these products displayed 'contains "good" ingredient' or 'free from "bad" ingredient' claims; the latter claims also promoted stronger purchase intentions and enhanced product perceptions among this subgroup. CONCLUSIONS: Findings indicate that 'free from "bad" ingredient' claims on unhealthy toddler foods are of most concern, as they boost the appeal of these products to parents. 'Contains "good" ingredient' claims and 'child-related' claims showed limited effects in this study. Considering available evidence, we recommend claims should not be permitted on child-oriented foods, as they may promote inaccurate product perceptions and unhealthy product choices by parents, that can detract from their children's diets and health.

Customer Profitability Analysis in decision-making-The roles of customer characteristics, cost structures, and strategizing.

PURPOSE: This study investigates the interplay between strategic goals and calculative practices, specifically Customer Profitability Analysis (CPA). Drawing on practice-based theories, the research aims to understand how managers strategize with CPA, including the balancing of financial and strategic objectives and the interplay of institutionalized practices with individual practitioners' actions. DESIGN: The study uses a qualitative, revelatory, and exploratory case study approach at the sub-organizational level in a manufacturing company. The researchers compare CPA practices across six departments, guided by a phenomenological research design. Data collection methods include informal conversations, qualitative observations, written documentation, numerical evidence from the accounting system, and interviews. FINDINGS: The study offers four novel findings to the field. First, it highlights how managers employ procedural and interactive strategizing to reframe CPA practices. The sophistication of CPA practices increases with unevenly distributed customer volume, high customer-specific, controllable overhead, customer-to-customer interaction, and service complexity. Conversely, the sophistication of cost-focused CPA practices tends to decrease with diverse strategic goals. Additionally, CPA become more effective through the utilization of non-financial information, employee empowerment, localization, and strategic alignment. Second, CPA can be adapted through integrative strategizing where managers avoid using it as a financial benchmark for strategic initiatives. Third, accountants actively seek intermediary roles to incorporate arguments from strategy and marketing to balance strategic objectives-contrary to their portrayal as myopic guardians of profitability. Fourth, the localization of CPA practices to front-line employees compensates for a lack of sophisticated CPA practices. FUTURE RESEARCH: Future research should, investigate the adaptation of calculative practices in different cultures, and industries. Exploring additional contextual factors such as uncertainty, management characteristics, and linguistic framing of practices would be beneficial. Examining the interactions in utilizing CPA practices between front-line staff and customers would shed light on their effectiveness. Lastly, investigating the role of consultants in diffusing such practices would offer valuable perspectives.

Customer discourse power and green innovation in industrial chain enterprises: A theoretical and empirical approach.

Leading enterprises in the industry chain play a demonstrative role, and promoting green innovation among leading enterprises is a meaningful approach to unlocking industry chain dividends. According to an analysis of the game process between customers and leading firms that incorporates the open innovation theory, we find a nonlinear role for the consumer discourse power in the leading firms' innovation. Furthermore, using data from Chinese A-share listed companies between 2012 and 2021, we observe an inverted "U" relationship between customer discourse power and green innovation. Notably, this effect is more pronounced in leading non-technology-intensive enterprises, industries with a high degree of industrial innovation, or regions with a high marketization degree. Our analysis also reveals that leading enterprises' client leads to financial limitations that influence green innovation. Additionally, leading enterprises play a driving role in achieving "joint progress" in green innovation with local non-leading firms, and this effect exhibits spatial spillover.

Too Good to be Nice: The interplay between the Cause marketing and information acquisition.

Cause marketing (CM) has become an important tool for firms to fulfill their social responsibility strategies. However, in reality, although some consumers have responded positively to the firm's CM strategies, others have doubts due to their lack of trust in the effectiveness of the firm or business. Therefore, in this paper, we consider a case that the supplier is a dual-purpose corporation that engage in a CM campaign and the consumer social preference is uncertainty and is unknown initially but can be resolved by the retailer's acquisition behaviour. By examining the two information acquisition strategies: committed acquisition and contingent acquisition. We find that, under either strategy, the retailer would like to acquire information only when the cost of information acquisition is small. Moreover, compared to contingent acquisition, the retailer is more willing to prefer committed acquisition. Additionally, we show that the supplier always prefers the committed acquisition strategy. However, the retailer's preference toward these two information acquisition strategies is related to the acquire cost. Specifically, when acquisition cost is small or large, the retailer is indifferent between these two strategies, when acquisition cost is in an intermediate range, the retailer will shift her strategy from the contingent strategy to the committed strategy. We also use numerical studies to illustrate main results. These findings provide theoretical support and management insights for managers to integrate CM into business transactions.

Sensory, emotional, and appropriateness of plant- and meat-based burgers.

The plant-based meat alternative market is experiencing rapid growth. However, whether this growth extends to mainstream consumers will depend on the sensory profile, emotional profile, and situational appropriateness of these products. This study provides a sensory comparison between two plant-based burgers, one hybrid burger, and a conventional 100% ground beef burger. The sensory evaluation was carried out under blind and informed conditions using a between-subject design. Participants (n = 177) were asked to rate the appearance, flavor, odor, and texture of each product and indicate their overall liking. In addition, 26 sensory terms were evaluated using the rate-all-that-apply technique. The study also measured the emotional profile and the situational appropriateness elicited by each product using the check-all-that-apply technique. The results showed that (a) in the blind condition, there were no significant differences observed in overall liking across the four burgers; (b) the plant-based burger made with pea protein received the lowest overall liking score, and its evaluation was not positively influenced by product information disclosure; (c) providing product information influenced the perceived intensity of the attributes associated with meat; (d) discriminatory ability for emotions was higher in the informed condition; and (e) for the situational appropriateness, when prioritizing healthy eating, participants considered plant-based burgers more suitable than the groundbeef burger. PRACTICAL APPLICATION: Our results demonstrate that product descriptions could have an impact on consumer acceptance of different meat burger alternatives. In order to launch successfull meat alternatives, product developers and communication marketing specialists should consider the extent to which these alternatives resemble regular meat products in terms of their sensory and emotional profiles and context of use.

Exploring consumer preferences for cannabis edible products to support public health policy: A discrete choice experiment.

BACKGROUND: In October 2019, cannabis edibles were legalized for sale in Canada for non-medical use. This move was intended to improve public safety by regulating contents (including a maximum 10 mg tetrahydrocannabinol (THC) per package) and packaging to prevent accidental ingestion or over consumption. This study aimed to explore consumer preferences for cannabis edibles to inform cannabis policy. METHODS: We explored the relative importance and trade-offs consumers make for attributes of cannabis edibles using a discrete choice experiment. Attributes included type of edible, price, THC content, cannabis taste, package information, product consistency, product recommendations, and Health Canada regulation. Participants lived in Canada, were 19 years of age or older, and purchased a cannabis edible in the last 12 months. A multinomial logit (MNL) model was used for the base model, and latent class analysis to assess preference sub-groups. This study was approved by the institutional ethics committee. RESULTS: Among 684 participants, the MNL model showed that potency was the most relevant attribute, followed by edible type. A two-group latent class model revealed two very distinct preference patterns. Preferences for group 1 (~65% of sample) were driven primarily by edible type, while for group 2 (~35% of sample) were driven almost entirely by THC potency. CONCLUSION: This study found that consumer preferences for ~65% of consumers of cannabis edibles are being met through regulated channels. The remaining ~35% are driven by THC potency at levels that are not currently available on the licensed market. Attracting this market segment will require reviewing the risks and benefits of restricting THC package content.

Characteristics of built food environments associated with alternative protein food choices: a systematic review.

BACKGROUND: This systematic review contributes to the understanding of the characteristics of built food environments that may be associated with choices of alternative protein foods (APF). Using the built food environment typology proposed by Downs et al., we investigated various environmental structures (e.g., supermarkets, other retailers, farmers' markets, restaurants, schools, and online vendors) and the characteristics that may facilitate or hinder consumers' choices. For example, facilitators and barriers may refer to the physical characteristics of environmental structures, food presentation practices, the organizational strategies or policies operating in the setting, or the actions that retailers or consumers engage in while selling, serving, choosing, trying, or purchasing APF in these environmental structures. METHODS: A systematic review (PROSPERO database preregistration; no. CRD42023388700) was conducted by searching 13 databases for peer-reviewed journals focusing on the fields of economics and business, agriculture, medical sciences, and social sciences. Data searches, coding, and quality evaluations were conducted by at least 2 researchers. A total of 31 papers (36 original studies) were included. The risk of bias was evaluated with the Joanna Briggs Institute quality evaluation tool, with 24 publications presenting low risk of bias. RESULTS: The findings indicate that perceived and actual availability facilitate consumers' APF choices across a built food environment. Several barriers/facilitators were associated with APF choices in specific types of built food environments: the way food is presented in produce sections (supermarkets), consumer habits in terms of green and specialty shopping (grocery stores), and mismatches among retailer actions in regard to making APF available in one type of food environment structure (e-commerce) and consumers' preferences for APF being available in other food environment structures (supermarkets, grocery stores). The effect of a barrier/facilitator may depend on the APF type; for example, social norms regarding masculinity were a barrier affecting plant-based APF choices in restaurants, but these norms were not a barrier affecting the choice of insect-based APF in restaurants. CONCLUSIONS: Addressing barriers/facilitators identified in this review will help in developing environment-matching interventions that aim to make alternative proteins mainstream. TRIAL REGISTRATION: PROSPERO database registration: #CRD42023388700.

Competition of multiplatform firms: Implications for the Internet of Things.

The Internet of Things (IoT) technology trend is transforming business and society. This creates a need to understand strategic behavior in the consumer IoT, where firms tend to offer multiple platform devices, and new generations of devices are introduced frequently. We propose a novel analytical model that formalizes the concept of a multiplatform firm that offers a system of platforms, such as a smartphone, and a new platform device, such as a smartwatch, and orchestrates a multiplatform ecosystem. The analysis shows how a platform design decision, like offering a new standalone device, affects consumer choices and market outcomes. We identify two classes of new devices that matter, and show when a new platform device may disrupt the smartphone market. Moreover, we characterize conditions under which it is profitable for a vendor to make its new platform device look and feel more like its smartphone. Overall, we provide insights into how multiplatform firms differ from platform firms. We identify future research opportunities on the economics of consumer IoT and multiplatform ecosystems.

Using a customer discovery process to enhance the potential dissemination and scalability of a family healthy weight program for rural communities and small towns.

AIM: Customer discovery, an entrepreneurial and iterative process to understand the context and needs of potential adoption agencies, may be an innovative strategy to improve broader dissemination of evidence-based interventions. This paper describes the customer discovery process for the Building Healthy Families (BHF) Online Training Resources and Program Package (BHF Resource Package) to support rural community adoption of an evidence-based, family healthy weight program. METHODS: The customer discovery process was completed as part of a SPeeding Research-tested INTerventions (SPRINT) training supported by the U.S. Centers for Disease Control and Prevention. Customer discovery interviews (n=47) were conducted with people that could be potential resource users, economic buyers, and BHF adoption influencers to capture multiple contextual and needs-based factors related to adopting new evidence-based interventions. Qualitative analyses were completed in an iterative fashion as each interview was completed. RESULTS: The BHF Resource Package was designed to be accessible to a variety of implementation organizations. However, due to different resources being available in different rural communities, customer discovery interviews suggested that focusing on rural health departments may be a consistent setting for intervention adoption. We found that local health departments prioritize childhood obesity but lacked the training and resources necessary to implement effective programming. Several intervention funding approaches were also identified including (1) program grants from local and national foundations, (2) healthcare community benefit initiatives, and (3) regional employer groups. Payment plans recommended in the customer discovery interviews included a mix of licensing and technical support fees for BHF delivery organizations, potential insurance reimbursement, and family fees based on ability to pay. Marketing a range of BHF non-weight related outcomes was also recommended during the customer discovery process to increase the likelihood of BHF scale-up and sustainability. CONCLUSIONS: Engaging in customer discovery provided practical directions for the potential adoption, implementation, and sustainability of the BHF Resource Package. However, the inconsistent finding that health departments are both the ideal implementation organization, but also see childhood obesity treatment as a clinical service, is concerning.