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PurposeThis study aims to examine the moderating role of private label product type (organic vs non-organic) on the relationships between trust transfer, price fairness, perceived value and brand loyalty.Design/methodology/approachThe empirical data were gathered with the structured questionnaire from two groups of respondents who had previously purchased organic and conventional private label products. The direct, mediating and moderating effects were analysed with structural equation modelling.FindingsThe findings confirmed the trust transfer between the retail store and private label brand. The results revealed that both store trust and trust in private label brand positively influence price fairness and which, in turn, elicits higher perceived value. Perceived value was also found to influence private label brand loyalty. The multi-group analyses revealed that the magnitude of the trust transfer was accentuated by organic food private label. Furthermore, the relation between trust in private label brand, price fairness and perceived value was also greater in organic food private label.Originality/valueThis study utilized the trust transfer theory and equity theory as a theoretical foundation to provide novel insights into the moderating influence of private label product type on the relationships between the antecedents of private label brand loyalty. The results of the research can help retailers to develop successful private label brand marketing strategies.

Over the past decade, seafood mislabeling has been increasingly documented, raising public concern over the identity, safety, and sustainability of seafood. Negative outcomes from seafood mislabeling are suspected to be substantial and pervasive as seafood is the world’s most highly traded food commodity. Here we provide empirical systems-level evidence that enabling conditions exist for seafood mislabeling in the United States (US) to lead to negative impacts on marine populations and support consumption of products from poorly managed fisheries. Using trade, production, and mislabeling data, we determine that substituted products are more likely to be imported than the product listed on the label. We also estimate that about 60% of US mislabeled apparent consumption associated with the established pairs involves products that are exclusively wild caught. We use these wild-caught pairs to explore population and management consequences of mislabeling. We find that, compared to the product on the label, substituted products come from fisheries with less healthy stocks and greater impacts of fishing on other species. Additionally, substituted products are from fisheries with less effective management and with management policies less likely to mitigate impacts of fishing on habitats and ecosystems compared with the label product. While we provide systematic evidence of environmental impacts from food fraud, our results also highlight the current challenges with production, trade, and mislabeling data, which increase the uncertainty surrounding seafood mislabeling consequences. More integrated, holistic, and collaborative approaches are needed to understand mislabeling impacts and design interventions to minimize mislabeling.

The Internet is driving force on how we communicate with one another, from posting messages and images to Facebook or “tweeting” your activities from your vacation. Today it is being used everywhere, now imagine a device that connects to the internet sends out data based on its sensors, this is the Internet-ofThings, a connection of objects with a plethora of sensors. Smart devices as they are commonly called, are invading our homes. With the proliferation of cheap Cloud-based IoT Camera use as a surveillance system to monitor our homes and loved ones right from the palm of our hand using our smartphones. These cameras are mostly white-label product, a process in which the product comes from a single manufacturer and bought by a different company where they are re-branded and sold with their own product name, a method commonly practice in the retail and manufacturing industry. Each Cloud-based IoT cameras sold are not properly tested for security. The problem arises when a hacker, hacks into the Cloud-based IoT Camera sees everything we do, without us knowing about it. Invading our personal digital privacy. This study focuses on the vulnerabilities found on White-label Cloud-based IoT Camera on the market specifically on a Chinese brand sold by Shenzhen Gwelltimes Technology. How this IoT device can be compromised and how to protect our selves from such cyber-attacks.

This study aims to analyze the influence of halal label, product quality, and price on purchasing decisions with a case study at the Bread Boy Bakery Cake Shop in Banda Aceh. This research is quantitative research. The sample used was 100 respondents using a purposive sampling technique. The results of data processing carried out using the SPSS 22 program through the multiple linear regression analysis methods shows that the independent variables are halal labels, product quality, and price simultaneously or simultaneously have a positive and significant effect on purchasing decisions. While partially, the halal label variable does not have a positive and significant effect on purchasing decisions. While the product quality variable partially influences the purchasing decisions. The price variable has a positive and significant effect on purchasing decisions.

\ The Muslim generation or abbreviated as Gen M is the young generation of believing Muslimsof faith and modernity. Gen M's buying behavior is so rarely studied, thereforethe author is interested in researching the things that are considered by Gen M inmake a purchase decision. This study aims to determine the behavior of genesM uses the Theory of Planned Behavior (TPB) approach. Variable which isused, among others, are religiosity, halal label, product ingredients, purchase interest andbuying decision. The data analysis technique used in this studyusing Structural Equation Modeling (SEM) with Partial Least alternativesSquare (PLS). The number of respondents was 200 respondents. The results showedthat purchase interest mediates the relationship between religiosity, halal labels, and ingredientsproducts against purchasing decisions.

Nattokinase is an enzyme with a strong fibrinolytic activity that can be used for preventing thrombolytic diseases. The fibrinolytic activity of the Nattokinase in dietary supplements is determined by spectrophotometric method. In this study, the conditions of the assay were examined and finally optimized as pH: 8.5, reaction temperature: 40oC, and reaction time: 60 minutes. The proposed method was validated and successfully applied to determine the Nattokinase activity in 10 dietary supplements. The results showed that the proportion of measured activity compared to label product activity were within in the range 79.1 - 98.0%. The effect of herbal compounds and excipients on Nattokinase activity were also surveyed. From the evaluated results and application to commercial samples, this method will be a valuable contribution to quality control of dietary supplement products containing Nattokinase.  

In this paper, Question Categorization (QC) has been studied most primarily in order to understand customers' search intention. In both of these searches, the items in the question list relate to the category label belonging to the taxonomy tree that is being examined. Despite this, search queries about the product usually vary depending on what is vague, and introduce new products over time, seasonal trends and narrow. Traditional supervised approaches to E-Commerce QC are not possible due to the high volume of traffic and high cost for manual annotation in E-Commerce search engines. Here, clickstream data is utilized to determine the effectiveness of a channel's marketplace. So, using the customer's click concept, to collect large-scale question categorization data, this paper uses unsupervised methods that means SVM algorithm is mainly used in this system. Here the data is in the multiclass and multi-label classifier is used to classify them. This paper gets on a large multi-label data set with specific and individual queries from a specific category. In this paper, a comparison of different sophisticated text classifiers is viewed. This paper calculates the micro-F1 scores of top and leaf, which are considered to be a linear SVM-ensemble.

Repurchase intention is an important factor for the company. The intention to repurchase a product arises because consumers are satisfied with the product they bought before. The purpose of this study was to determine the effect of Store image, Price perception and Private label product image to Repurchase intention on Hypermart and Indomaret Pontianak City. Data collection was carried out by distributing questionnaires containing statements with the number of respondents as many as 60 people on Hypermart and 60 people on Indomaret. The sampling technique uses the non-probability sampling method in the form of purposive sampling. Data from the results of questionnaire collection are processed using validity, reliability, classic assumption and path analysis.The results showed: 1) Store image and price perception has a significantly effect to private label product image on Hypermart customers. 2) Store image and price perception has a significantly effect to repurchase intention on Hypermart customers. 3) Private label product image has a significantly effect to repurchase intention on Hypermart customers. 4) Store image and price perception has a significantly effect to private label product image on Indomaret customers. 5) Store image and price perception has a significantly effect to repurchase intention on Indomaret customers. 6) Private label product image has no significantly effect to repurchase intention on Indomaret customers.