Product Reputation Research Articles

ANALYSIS OF DETERMINANTS IN HALAL INDUSTRY DEVELOPMENT OF ISLAMIC FASHION INDONESIA

Introduction: As Indonesia is inhabited by a lot of Muslim population, this demographic characteristic benefits the expansion of the halal industry internationally. The reputation of halal products relies on the rising production quality. This study aims to better understand how fashion preferences, halal certification, and the quality of business actors influence the potential of the Indonesian Islamic fashion industry to become an international halal industry. Methods: This study was carried out using quantitative analyses including multiple linear regression, validity, and reliability analyses. Results: The quality of business actors, halal certification, and fashion taste all had a positive and significant effect on expanding the potential of the Islamic halal fashion trade. Conclusion and suggestion: The Indonesian Ulema Council and the government should coordinate in ascending the halal certification. In addition, business actors are required to seek information related to halal certificates and acquire them before running their business. Given the importance of halal certification, the public is encouraged to purchase halal fashion items as this lifestyle expresses their identity.

THE USEFULNESS OF BRANDING IN AGRICULTURAL MARKETING

The post-pandemic landscape has ushered in significant changes in food and agricultural markets, with a call from policymakers for proactive transformation towards a climate-neutral, digital, and inclusive food sector. Despite policy recommendations, market trends are primarily shaped by consumer behaviour, and many consumers remain hesitant to embrace circular economy practices and sustainability paradigms. Thus, policymakers must consider consumer preferences and willingness to change consumption patterns. In this context, branding emerges as a crucial tool in agricultural marketing, capable of influencing consumer preferences and promoting agricultural products, contributing to the sector's overall success. A traditional view of agricultural marketing involves the logistics of moving products from farms to consumers. However, in this evolving landscape, branding transcends mere logos and slogans, encompassing the holistic image, reputation, and perception of agricultural products. This article explores the role of branding within the agricultural supply chain and delves into the importance of branding by examining strategies and case studies in agricultural markets. It also underscores the challenges in agricultural branding while offering potential solutions.

Bengali fake reviews: A benchmark dataset and detection system

The proliferation of fake reviews on various online platforms has created a major concern for both consumers and businesses. Such reviews can deceive customers and cause damage to the reputation of products or services, making it crucial to identify them. Although the detection of fake reviews has been extensively studied in English language, detecting fake reviews in non-English languages such as Bengali is still a relatively unexplored research area. The novelty of this study unfolds on three fronts: (i) a new publicly available dataset called Bengali Fake Review Detection (BFRD) dataset is introduced, (ii) a unique pipeline has been proposed that translates English words to their corresponding Bengali meaning and also back transliterates Romanized Bengali to Bengali, (iii) a weighted ensemble model that combines four pre-trained transformers model is proposed. The developed dataset consists of 7710 non-fake and 1339 fake food-related reviews collected from social media posts. Rigorous experiments have been conducted to compare multiple deep learning and pre-trained transformer language models and our proposed model to identify the best-performing model. According to the experimental results, the proposed ensemble model attained a weighted F1-score of 0.9843 on a dataset of 13,390 reviews, comprising 1339 actual fake reviews, 5,356 augmented fake reviews, and 6695 reviews randomly selected from the 7710 non-fake instances.

A Framework for Risk Mitigation in Halal Self-Declaration for SMEs and MSMEs in Indonesia

This research examines the challenges and risk mitigation strategies associated with Halal self-declaration among Small and Medium-sized Enterprises (SMEs) and Micro, Small, and Medium-sized Enterprises (MSMEs) in the context of the forthcoming Halal certification enforcement policy in Indonesia. The study aims to enable SMEs and MSMEs to actively participate in the Halal industry, with the intent to promote economic inclusivity and ensure the accuracy, integrity, and reputation of Halal products. The research explores potential consequences such as mislabeling, cross-contamination, reputational damage, legal repercussions, negative market impact, and erosion of Halal industry credibility. In this research, a structured thematic analysis approach is conducted. The findings of the study propose risk mitigation strategies, including risk identification, framework development, education programs, accessible guidance materials, the implementation of independent verification and audits collaboration with certification bodies and regulatory agencies, awareness campaigns, and continuous improvement and evaluation. The outcomes of this research benefit SMEs, MSMEs, certification bodies, industry associations, regulatory agencies, and consumers, enhancing compliance with Halal standards, consumer confidence, and market competitiveness.

Strategi Digital Marketing Melalui Marketplace Pada UMKM CV. Rapoviaka Simple

In the current era, digital marketing has become one of the marketing strategies used by business people today, digital marketing has become a solution for business people to expand their business environment, both micro and macro business people. The aim of this research was to determine and analyze digital marketing strategies in marketplaces (Shopee and Tokopedia) to market products and identify existing strengths, weaknesses, opportunities and threats using SWOT analysis. The method used in this research is qualitative. Simple Rapoviaka has just created a marketing strategy through the Shopee marketplace and Tokopedia to increase its market share, implementing digital marketing carried out by CV. Rapoviaka simple aims to increase sales. This is because consumers are wider, closer, and check the quality and reputation of products, using online transactions. This could be an example for other MSMEs, where CV. Rapoviaka Simple itself is still distributing its products to its marketing partners, namely Palu souvenir shops offline and now they are selling

The future of organic certification: potential impacts of the inclusion of Participatory Guarantee Systems in the European organic regulation

Third-party certification (TPC) is the standard approach to quality assurance for organic production, but its administrative burden and cost make it difficult for smallholders to access it. Internal Control Systems (ICS) and Participatory Guarantee Systems (PGS) are possible alternative approaches because they are more accessible and less costly. Regulation (EU) 2018/848 on organic production allows ICS for small farmers. However, PGS are not included, despite being promoted by the International Federation of Organic Agriculture Movements (IFOAM) and officially recognised by several countries worldwide. This study aims to evaluate the possible future inclusion of PGS at the European level. Twenty-eight experts participated in a Delphi exercise, and both optimistic and pessimistic views were agreed upon amongst them. In the pessimistic view, bureaucratic excess and standardisation requirements needed in the process of PGS institutionalisation could emerge, resulting in even more rigid practices compared to the current ones. In the optimistic view, recognising PGS as a legitimate approach to guarantee the quality of organic products could foster the inclusion of smallholders by lowering certification costs, increasing cohesion and competencies amongst rural development actors and increasing the reputation of PGS-certified local products.

Five Is the Brightest Star. But by how Much? Testing the Equidistance of Star Ratings in Online Reviews

Organizational research increasingly relies on online review data to gauge perceived valuation and reputation of organizations and products. Online review platforms typically collect ordinal ratings (e.g., 1 to 5 stars); however, researchers often treat them as a cardinal data, calculating aggregate statistics such as the average, the median, or the variance of ratings. In calculating these statistics, ratings are implicitly assumed to be equidistant. We test whether star ratings are equidistant using reviews from two large-scale online review platforms: Amazon.com and Yelp.com. We develop a deep learning framework to analyze the text of the reviews in order to assess their overall valuation. We find that 4 and 5-star ratings, as well as 1 and 2-star ratings, are closer to each other than 3-star ratings are to 2 and 4-star ratings. An additional online experiment corroborates this pattern. Using simulations, we show that the distortion by non-equidistant ratings is especially harmful in cases when organizations receive only a few reviews and when researchers are interested in estimating variance effects. We discuss potential solutions to solve the issue with rating non-equidistance.

Consumer preference analysis: Diverse preference learning with online ratings

In the information age, there is a growing need to process and analyze the great number of online reviews to understand consumer preferences and product reputations. Instead of addressing all online reviews as a simple group decision-making problem in the existing research, we propose a new preference learning (PL) mechanism to extract preferences by analyzing the diversity of preferences across different time frames. First, we collect and process online ratings from e-commerce platforms. Then, we construct an online optimization model based on online mirror descent to learn priority vectors that reflect various consumer preferences. We incorporate multiple learners to capture evolving preferences. In addition, we design experiments to verify the model involving the validity, robustness, as well as suggested parameters ranges. The model helps consumers and businesses capture ongoing preferences from massive online reviews. Importantly, the PL mechanism is innovatively designed to detect different preferences and learn different types of priorities with generating ratings online. The model offers more accurate preference information and represents a broader range of consumers’ behaviors.

Using open sources of information to study business reputation of business entities: foreign experience

In the context of increasing internationalization and the formation of an innovative economy, the role of reputation in achieving a high level of performance of enterprises and organizations is gaining new qualitative significance. Today, business reputation (reputation of products, services, works, top managers, etc.) is becoming an object of competitiveness and investment. In today's environment, brand reputation, reputation of the company's top executives, reputation of top managers, and reputation of the company's strategy are becoming the objects of significant material investments. This is primarily due to the growing influence of society on the activities of modern enterprises through information transparency. Experts agree that a good reputation makes a company more attractive to investors, increases its capitalization, allows it to increase revenue, and provides a stronger position when entering new markets. In addition, in a highly competitive environment, with a huge number of companies with approximately the same competitive advantages, a company can potentially stand out and thus receive significantly higher profits, sales, investments, etc. than others only due to its corporate reputation. Therefore, the formation of an effective system of business reputation is an urgent problem for companies.

Evaluation Timing with Dynamic Information: Optimization and Heuristic

Product evaluation is an essential business process, and digital innovation has made it possible for companies to immediately process available information. We develop a model where a company continuously assesses information that follows a doubly stochastic Poisson process with a mean‐reverting and stochastic intensity. Accordingly, the company faces a two‐dimensional optimal stopping problem in which the company continues to evaluate the product if and only if the product reputation and information intensity remain in a continuation set. We employ a probabilistic approach to prove that the continuation set takes the form of an open interval for any fixed information arrival intensity. Given the complicated nature of the optimal solutions, we develop an asymptotic expansive solution, and numerical studies show that our solution performs well. We also analyze a heuristic solution where the company substitutes the dynamic intensity with a constant intensity. Interestingly, we find that this heuristic company does not necessarily benefit from having a higher product reputation.

Strategi Penetapan Harga Yang Efektif Untuk Meningkatkan Pemasaran Produk Spaghetti Homemade: Kasus Dana Pasta

This article discusses the implementation of efficient pricing strategies within a marketing management framework to increase promotion of homemade spaghetti products, with a focus on the Dana Pasta case analysis. Pricing plays a crucial role in achieving success in marketing, especially in the food industry sector. By considering variables such as high quality raw materials and careful manufacturing processes, this research explores strategic approaches that can strengthen product reputation, increase competitiveness, and attract the attention of target customers. This article discusses the basic principles of pricing, evaluates a number of strategies that can be implemented in the context of homemade spaghetti, and provides practical suggestions for improving product marketing results. Through the application of the Dana Pasta case study, the aim of this article is to provide relevant and applicable guidance for culinary business people who want to achieve success through a smart pricing approach

Employing S-O-R approach in linking mobile commerce ubiquity with usage behavior: roles of product reputation and brand trust

PurposeThis paper aims to highlight the effect of mobile commerce (m-commerce) ubiquity on usage behavior as well as the mediator mechanism of brand trust between ubiquity and usage behavior. To extend the findings, this research also examines the moderator role of product reputation on the nexus between brand trust and usage behavior in the m-commerce context.Design/methodology/approachGiven the quantitative approach, the authors gathered 1,565 valid responses from m-commerce app users. Data were analyzed in SmartPLS 4.FindingsUbiquity positively impacted brand trust, and the latter positively influenced m-commerce usage behavior. Brand trust also partially mediated the effect of m-commerce ubiquity on usage behavior, along with product reputation moderating the positive effect of brand trust on usage behavior.Originality/valueBy combining resource-based theory with signaling theory in the stimulus-organism-response (S-O-R) framework, this paper's novelty focuses on the investigation of m-commerce ubiquity, brand trust as a mediating mechanism and product reputation as a moderator in explaining usage behavior in the m-commerce context.

How does platform certification affect the marketing performance of sellers in food e-commerce? Interaction with reputation mechanisms

PurposePlatform certification constitutes an effective mechanism for managing the lemon problem concerning food e-commerce. This work aims to evaluate the market effect of platform certification and analyzes its correction mechanism for lemon problem combined with reputation mechanism.Design/methodology/approachUtilizing the Gold Seller certification of Taobao.com to serve as an illustration, the authors conducted an empirical study based on the sales data of hairy crabs among 2,239 sample sites over six points in time from October to December 2019, systematically examining the market effect of food e-commerce platform certification along with the interaction between food e-commerce platform certification and reputation mechanisms, followed by a heterogeneity test by product price.FindingsThis study finds that sellers with platform certification can significantly increase their sales. The market effect of platform certification is more easily observed in the low-price product market. In addition, platform certification and reputation mechanisms have complementary effects. In a low-price product market, the complementary effect of platform certification and product reputation diminishes, while the complementary effect of platform certification and seller reputation disappears.Originality/valueThis study explores the market effect of food e-commerce platform certification, reveals the market effect of certification mechanism when multiple signaling mechanisms exist simultaneously and conducts an empirical test based on real market data. It provides a better comprehension of how platform certifications work in food e-commerce.

Evaluation of Sustainability Supply Chain Performance in the Food Industry: A Case Study

Evaluating sustainability in the food supply chain has multiple benefits, including reducing environmental impact, meeting regulations, satisfying consumer demands, improving efficiency, and enhancing business reputation. This paper outlines a Sustainability Supply Chain Management (SSCM) framework using the Analytic Hierarchy Process (AHP) to weigh Key Performance Indicators (KPIs). With 12 variables and 39 KPIs, the method involves data collection, performance measure selection, and analysis. KPIs with lower weight values highlight areas needing improvement, such as recycling costs, personnel expenses, sales responsiveness, eco-friendly labelling, distribution efficiency, green product development, recycled material usage, employee capabilities, product reputation, worker satisfaction, and stakeholder trust. Based on KPI weights, recommendations include prioritizing energy use in production and marketing, ensuring timely product delivery, maintaining product quality, streamlining production processes, focusing on energy efficiency, promoting eco-labelling, fostering eco-awareness, and advancing environmental technology.

THE IMPACT OF BRAND REPUTATION AND MARKETING TOOLS ON PURCHASING INTENTIONS -CARE PRODUCTS AS AN EXAMPLE

With air pollution, many dirty particles easily adhere to people's skin, through the function of body care products to complete the daily maintenance work. There are too many body care products on the market, consumers will not buy because of the relationship of brand reputation when purchasing. In addition, counters use different promotional tools to attract consumers to buy, such as providing independent or open skin care and beauty spaces. Will consumers purchase the home's products due to the skin care and beauty services offered by the skin care and beauty space? Therefore, this study uses 2×2 experimental design to analyse the brand reputation of counter body care products and the impact of whether there is an additional skin care and beauty space on consumers' purchase intentions. The results of this study show that consumers will choose high-profile brands to buy skin care products. Moreover, this study confirms that skin care and beauty space settings have an impact on purchase intentions. Therefore, this study suggests that operators can increase brand reputation and provide skin care and beauty spaces to stimulate consumer's willingness to buy.

Attribute-based product reputation as a market signal: examining product safety recalls in the US auto industry

PurposeThis study examines how firm product reputation functions as an internal and external expectations-setting mechanism shaping firm and external stakeholder behavior.Design/methodology/approachLongitudinal analysis of 17,879 recalls from 15 automobile manufacturers operating in the United States between 1967 and 2016.FindingsApplying the behavioral theory of the firm (BTF) and signaling theory, this study’s findings suggest that product safety reputation creates variability in the likelihood of both voluntary and government-ordered recalls.Research limitations/implicationsPerformance expectations set by past product performance influence managerial decision-making such that products with a higher reputation for quality are more likely to be voluntarily recalled than are their less reputable counterparts. Similarly, regulators are more likely to order the recall of higher reputation products, suggesting that past product performance also influences enforcement behavior. Finally, the scope and severity of product defects are shown to interact with product reputation to influence the likelihood of government-ordered recall.Practical implicationsFirms and firm stakeholders make distinct decisions based on performance variations within firm product portfolios.Social implicationsOverall firm reputation is important, but there are distinct dynamics that result in product performance variability within firm product portfolios that have important implications on issues such as product safety recalls.Originality/valueThis study's findings reveal that as an internal signal, managers' expectations of product performance can change their behavior following product safety defects. Specifically, voluntary product recalls are more likely for higher-reputation products than those with lower reputations for product safety. This suggests that firm behavior regarding product safety recalls is not consistent within their own product lines. Externally, this study’s findings suggest that product reputation also influences relationships with key stakeholders. Product reputation for quality was shown to be associated with an increased likelihood of government sanctions. Regulators will also be more likely to initiate punitive sanctions against higher-reputation products as the severity and scope of safety defects increase. Under such circumstances, higher-reputation products are more likely to face government sanctions than lower-reputation products. Hence, government regulatory behavior is subject to influence from performance signals such as product reputation.

Improving MSMEs' Networking through Digital Marketing: The Role of Copywriting

In today's digital era, digital marketing is one of the keys to business success. One of the applications of digital marketing is copywriting techniques. This community service activity aims to increase knowledge, understanding, and implementation of information technology for digital marketing activities for MSMEs in Banyumas Regency. From preliminary interviews with MSME managing partners, several main problems were identified in marketing their business, including understanding digital marketing, techniques to increase online sales and product reputation. According to the needs of these participants, this activity explains digital marketing. In addition, this community service activity also emphasizes the importance of using English in digital marketing. The stages of implementing Community Service are providing knowledge about digital marketing, understanding copywriting, and practicing making English copywriting. This activity uses lecture methods, tutorials, discussions, and practices through Aisyiyah Entrepreneurial School activities. The activity results are evaluated through questions and answers with participants. The results of this activity are expected to show that MSME participants have started to apply English copywriting techniques to run their businesses.

DG-GAN: A High Quality Defect Image Generation Method for Defect Detection.

The surface defect detection of industrial products has become a crucial link in industrial manufacturing. It has a series of chain effects on the control of product quality, the safety of the subsequent use of products, the reputation of products, and production efficiency. However, in actual production, it is often difficult to collect defect image samples. Without a sufficient number of defect image samples, training defect detection models is difficult to achieve. In this paper, a defect image generation method DG-GAN is proposed for defect detection. Based on the idea of the progressive generative adversarial, D2 adversarial loss function, cyclic consistency loss function, a data augmentation module, and a self-attention mechanism are introduced to improve the training stability and generative ability of the network. The DG-GAN method can generate high-quality and high-diversity surface defect images. The surface defect image generated by the model can be used to train the defect detection model and improve the convergence stability and detection accuracy of the defect detection model. Validation was performed on two data sets. Compared to the previous methods, the FID score of the generated defect images was significantly reduced (mean reductions of 16.17 and 20.06, respectively). The YOLOX detection accuracy was significantly improved with the increase in generated defect images (the highest increases were 6.1% and 20.4%, respectively). Experimental results showed that the DG-GAN model is effective in surface defect detection tasks.

Understanding young Chinese consumers' preferences for foreign clothing brands: a behavioural approach

PurposeThis research explores the purchasing behavioural drivers of young Chinese consumers purchasing foreign clothing brands. The aim is to include a range of drivers identified by different investigations into a single approach, to determine direct and indirect channels by which these drivers influence purchasing behaviour, and their relative importance in quantitative terms.Design/methodology/approachThe methodology is based on an extended version of the theory of planned behaviour that considers hypotheses based on a number of studies revised in the literature review. This theoretical framework was used as the basis for a questionnaire applied to a sample of 362 young Chinese consumers. A Partial Least Squares Structural Equation Modelling approach was used to analyse the collected data.FindingsThe results revealed three main channels influencing purchasing behaviour which were shown to share the same root, corresponding to the influences of the social network young consumers belong to. This result suggests that social norms have a key role in explaining young consumers' purchasing behaviour through its impact on their needs for status and social recognition, their attitudes towards foreign cultures and foreign brands, and their beliefs regarding the attributes of foreign clothing.Practical implicationsThe work therefore provides companies operating in the foreign clothing market the confidence to devise business strategies that focus on the channel demonstrating the highest influencing power. A strategy likely to have the highest influencing power is one that uses celebrities to promote the reputation of products and reinforce the messages associated with status and social recognition. Reinforcement of these strategies could include secondary strategies linked to the other channels such as the one related to the adoption of foreign cultural symbolism.Originality/valueIn contrast to the majority of related studies, this investigation also explores indirect channels or paths by which a behavioural driver affects the behaviour of young Chinese consumers. In fact, this investigation not only simultaneously identified the different paths influencing young Chinese consumers purchasing behaviour but also quantitatively identified their relative importance.

Protection and Characteristics of Geographical Indications in Indonesia

Geographical Indications are product identification associated with a specific geographic location. Indonesia has a Geographical Indication protection system to protect local products and promote unique products that can only be found in certain areas through Law No. 20 of 2016 concerning Trademarks and Geographical Indications. The main characteristics of Geographical Indications in Indonesia include the relationship between the product and the geographical environment, the quality and reputation attached to the product, as well as the traditions and local wisdom associated with the product. The protection of Geographical Indications in Indonesia aims to ensure that only products that comply with the specified criteria may use the Geographical Indications mark. Characteristics of Geographical Indications include links with regions and traditions, as well as the reputation of products originating from the area. This protection helps promote and sustain local culture and economy. The research methodology used in this study uses a type of normative research with various approaches, which consist of statutory approach (statute approach) and conceptual approach (conceptual approach). The sources of legal materials used in this study are in the form of primary law (primary source) and secondary law (secondary source) and non-legal material. The results of the research and the main findings are that the characteristics of geographical indications are different from other IPRsgeographic indication has unique characteristics caused by natural factors, thus giving effect to the goods or products produced by a certain region.