Artificial Intelligence Assisted Social Failure Mode and Effect Analysis (FMEA) for Sustainable Product Design

Nowadays, the social dimension of product sustainability is increasingly in demand, however, industrial designers struggle to pursue it much more than the environmental or economic one due to their unfamiliarity in correlating design choices with social impacts. In addition, this gap is not filled even by the supporting methods that have been conceived to only support specific areas of application. To fill this gap, this study proposed a method to support social failure mode and effect analysis (SFMEA), though the automatic failure determination, based on the use of a chatbot (i.e., an artificial intelligence (AI)-based chat). The method consists of 84 specific questions to ask the chatbot, resulting from the combination of known failures and social failures, elements from design theories, and syntactic structures. The starting hypothesis to be verified is that a GPT Chat (i.e., a common AI-based chat), properly queried, can provide all the main elements for the automatic compilation of a SFMEA (i.e., to determine the social failures). To do this, the proposed questions were tested in three case studies to extract all the failures and elements that express predefined SFMEA scenarios: a coffee cup provoking gender discrimination, a COVID mask denying a human right, and a thermometer undermining the cultural heritage of a community. The obtained results confirmed the starting hypothesis by showing the strengths and weaknesses of the obtained answers in relation to the following factors: the number and type of inputs (i.e., the failures) provided in the questions;the lexicon used in the question, favoring the use of technical terms derived from design theories and social sustainability taxonomies;the type of the problem. Through this test, the proposed method proved its ability to support the social sustainable design of different products and in different ways. However, a dutiful recommendation instead concerns the tool (i.e., the chatbot) due to its filters that limit some answers in which the designer tries to voluntarily hypothesize failures to explore their social consequences.

Design for Well-Being and Sustainability: A Conceptual Framework of the Peer-to-Peer Sharing and Reuse Platform in the Circular Economy

To regain overall well-being in the post-pandemic era, the priorities should not be only economic growth but also human physical and mental health. This study investigates how to incorporate the concept of well-being into the circular economy to facilitate the pursuit of individual/personal and social growth, and sustainable consumption. We begin with a systematic search of the literature on well-being and sustainable product–service systems, model the well-being components in peer-to-peer (P2P) sharing and reuse platforms, and propose design guidelines for platform development. According to our findings, (1) allocentric well-being components (such as gratitude, contribution, and altruism) serve as the antecedents of sharing behaviors, while egocentric components (such as pleasure and attachment) serve as the consequences, and (2) information sharing is crucial to initiating the flow of well-being perceptions and sustainable sharing and reuse behaviors. Based on the findings, we suggest a data-driven approach and active inference theory to facilitate related studies. This study sheds light on the potential to develop well-being within the circular economy and facilitate the sustainable working of the sharing and reuse ecosystem.

Perception of Green Product Consumption in the Context of the COVID-19 Pandemic in an Emerging Economy

The COVID-19 pandemic has resulted in changes in consumer behavior and has created new opportunities and challenges for the provisioning of green products in emerging economies. The objective of this study was to identify how perceptions on COVID-19 affected the variables of planned behavior and responsible purchase intention during the pandemic in Colombia. A total of 320 consumers participated in an online survey, and the responses were analyzed using a structural equation model (SEM) and AMOS 24 statistical software. The results were positive regarding the development of better environmental awareness, indicating that COVID-19 (COV) influenced the attitude (ATT) of individuals and contributed to subjective norms (SNs) and perceived behavioral control (PBC), and that SNs and ATT influence eco-friendly purchase intention (EFPI). However, PBC does not contribute to EFPI. Colombian consumers have become aware of the importance to society of buying eco-friendly products, and planned behavior is an opportunity for organizations to formulate new portfolios relevant to the needs of the market. This is an important opportunity to sensitize consumers to the purchase of environmentally friendly products and for the identification of commercial strategies by companies that bet on the formulation and commercialization of eco-friendly portfolios that generate value for society.

A multi-objective economic production quantity model for deteriorating items with impact of the pandemic, social and environmental concerns

The COVID-19 outbreak has posed significant challenges to the worldwide supply chain. As result, there is an urgent need to develop a model for the manufacturer that includes multi-phase manufacturing with fluctuating demand during various levels of pandemic and a supply system that takes into account the environmental benefits of the product and production. This study recommends inventory model to the company for estimating optimal production amount and replenishment cycle in order to reduce overall cost and maximize profit along with green product pricing and carbon tax. The current study considers models with and without shortages for instantaneously deteriorating commodities. Because of the social awareness concern, firms can avoid the suffering from labor shortage during the pandemic crisis. Numerical examples are given to demonstrate the model's use. A sensitivity analysis of crucial factors was performed in order to uncover more sensitive parameters that offer a clear portrayal of current concerns. [ FROM AUTHOR] Copyright of Journal of Industrial & Production Engineering is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full . (Copyright applies to all s.)

Enhancing Sales of Green Agricultural Products through Live Streaming in China: What Affects Purchase Intention?

Live streaming of agricultural products can reduce farmer losses caused by unsalable agricultural products and increase the income of farmers. Live streaming can be especially effective for green product sales as it can increase viewer understanding of and interest in the production and attributes of green products. Using the stimulus, organization, and response theoretical framework, this paper explores the influence of agricultural products anchors' characteristics on consumers' purchasing behavior and the mediating effect of green consumption cognition. The data come from surveys distributed online to Chinese shoppers who had participated in an agricultural livestreaming event. A total of 691 valid responses were received. Anchor characteristics of influence, sales promotion, and interactive entertainment were found to positively impact consumers' purchasing behavior. Green consumption cognition, composed of environmental problem perception and green consumption awareness, has a positive impact on purchasing intent. Furthermore, anchor characteristics of influence and sales promotion can positively influence consumers' purchasing behavior indirectly through green consumption cognition.

Factors Affecting the Sustainability of Halal Product Performance: Malaysian Evidence

The purpose of this research is to examine the impact of supply chain integration (SCI), demand for halal products (DHP), halal marketing (HM), process quality improvement (PQI), food safety concerns (FSCs), and health consciousness (HC) on sustainable product performance (SPP) in the halal food industry in Malaysia. A survey was conducted with 212 respondents from Malaysian halal-certified companies, and the partial least squares (PLS-SEM) method was used for the data analysis. The findings indicate a positive and significant link between SCPI, HC, PQI, and SPP. In contrast, the findings show no significant link between HM, FSC, and SPP. DHP was found to have a negative, non-significant association with SPP. This paper concludes by discussing the implications of the findings and opportunities for future research.

Opportunities Presented by COVID-19 for Healthcare Green Supply Chain Management and Sustainability Performance: The Moderating Effect of Social Media Usage

This research explores the opportunities presented by COVID-19 for green supply chains' environmental practices and ecological sustainability performances in the healthcare sector. This study investigates the connections between uncertainty-fear of COVID-19, healthcare green supply chain management (GSCM), and the three pillars of a firm's sustainability performance (environmental, economic, and social). Moreover, this study examines the moderating role of social media usage (SMU) on the effect of uncertainty-fear of COVID-19 on healthcare-GSCM. When conducting the empirical part, this study uses the partial least squares structural equation modeling method based on a sample of 483 healthcare managers. The findings prove that the uncertainty-fear of COVID-19 has a beneficial impact on healthcare-GSCM. Besides, SMU moderates the relationship between uncertainty-fear of COVID-19 and healthcare-GSCM, indicating the importance of SMU in gathering information for the healthcare sector during COVID-19. Likewise, when interacting with healthcare firms' sustainability performances, healthcare-GSCM positively impacts environmental and social performances, though it has a negligible impact on economic performance. This study adds to the “social cognitive theory”by introducing the concept of uncertainty-fear of COVID-19. Furthermore, this research adds to the “resource-based view theory”and the “knowledge-based view theory”by exploring the SMU's role during the outbreak. IEEE

Should Green Products Be Advertised as Green? Exploring the Factors That Affect Ad Credibility

The COVID-19 pandemic has marked key milestones including a transition to sustainable consumption. Eco-brands could exploit this conjuncture to advertise their products while pondering how green ad claims are judged as misleading, unsubstantiated, and opportunistic, but also useful and efficient. This study revises the notion that green consumers distrust green advertising by analyzing how green consumerism, conceptualized as a hierarchical construct, moderates the effect of three factors on the credibility of green advertising. An experiment involving the ad claim, product type, and familiarity with the eco-brand was performed in the context of an emerging economy. The statistical analyses show complex interrelationships between the experimental factors and cross effects between factors and the dimensions of green consumerism. Results indicate that eco-brand familiarity increases green ad credibility for products that were designed and launched as green (e.g., hybrid cars and tissue paper) while the type of ad claim (environmental vs. self-benefit) has no significant effect if the product is recognized as green. Results also indicate that of the three dimensions comprising green consumerism, only green purchasing has a direct negative effect on ad credibility. This effect is stronger for low-cost goods whose environmental benefits against regular products are easier to confirm. [ FROM AUTHOR] Copyright of Journal of Promotion Management is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full . (Copyright applies to all s.)

The Green Frontier of Mobile Applications in Improving Recycling Consumers' Behavior

In this article, we provide a new insight into overcoming resistance to emerging green technologies through mobile app users' environmental engagement. The use of a mobile recycling application is evaluated with regard to its media richness with a sample of 12 539 users in Italy. The research is developed during the COVID-19 pandemic, at a time when users have become more environmentally conscious and aware of plastic pollution. This time period has also seen an increase in the use of mobile applications, which provide social engagement and other benefits. Although it has encouraged new research on recycling behavior and how environmental messages are spread, as far as we know, no research has included a specific technology, such as mobile applications. Through the lens of consumer social media engagement behavior, it has emerged that media richness has a positive correlation with user engagement and recycling behavior. Theoretically, the research offers a novel technological tool worthy of further exploration in the fields of management and engineering. New practical insights are offered in terms of best practices for strengthening the relationships between companies and their clients. As users become more accustomed to social technologies, those technologies may help to establish responsible consumption patterns.

A Single Stream Modified MobileNet V2 and Whale Controlled Entropy Based Optimization Framework for Citrus Fruit Diseases Recognition

Fruit disease recognition is quickly becoming a hot topic in the field of computer vision. The presence of plant diseases not only reduces fruit production but also causes a significant loss to the national economy. Citrus fruits help to strengthen the immune system, allowing it to fight off diseases such as COVID-19. Manual inspection of fruit diseases with the naked eye takes time and is difficult;therefore, a computer based method is always required for accurate recognition of plant diseases. Several deep learning techniques for recognizing citrus fruit diseases have been introduced in the literature. Existing techniques had several issues, including redundant features, convolutional neural network (CNN) model selection, low contrast images, and long computational times. In this paper, single stream convolutional neural network architecture is proposed for recognizing citrus fruit diseases. In the first step, data augmentation is performed using four contrast enhancement operations: shadow removal, adjusting pixel intensity, improving brightness, and improving local contrast. The MobileNet-V2 CNN model is selected and fine-tuned in the second step. Using the transfer learning process, the fine-tuned model is trained on the augmented citrus dataset. The newly trained model is used for deep feature extraction;however, analysis shows that the extracted deep features contain little redundant information. As a result, an improved Whale Optimization Algorithm (IWOA) is used in the third step. The best features are then classified using machine learning classifiers in the final step. The augmented citrus fruits, leaves, and hybrid dataset were used in the experimental process and achieved an accuracy of 99.4, 99.5, and 99.7%. When compared to existing techniques, the proposed architecture outperformed them in terms of accuracy and time.

Absorption Capacity and Development of Photocatalyst Green Ceramic Products with Moderation of Green Environment for Sustainability Performance of Developing Industries

Business Sustainability is closely related to the green environment and of the products produced, photocatalyst is one of the strategies in caring for the green environment. The benefits of this product are a very important opportunity for small business actors where ceramic SMEs have never developed photocatalyst green products. This study uses SEM-PLS analysis, with SmartPLS software as a processing tool where data is obtained from 300 business actors developing green products (photocatalysts) spread across Indonesia;data collection is carried out directly using questionnaires with stratified purposive sampling method and obtained research samples totaling 200 SMEs. This research shows that the development of green products can be a perfect mediation in bridging the absorption capacity and business sustainability. The development of green products encourages the spirit of obtaining information, interpretation, internalization and facilities by SMEs so as to provide increased productivity, increase production quality, increase environmental friendliness and more dissemination to the green product market. However, the green environment cannot drive the sustainable performance of SMEs because it is not fully understood that the green environment is driving its products but rather to market needs and profit targets and existing market needs.

Behavioral design practical application: product policy, public opinion

Behavioral product design is critical to integrated product policy and opens up new opportunities for manufacturers, consumers and society in whole. Behavioral design theory since the 90s of the XIX century evolved as a synthesis of physiological theory of reflexes and reinforcement, psychoanalytic theory of the crowd and operational conditioning, theories of public opinion management and organizational change, institutional concepts of consumer behavior, computerization and the development of data networks. In foreign practice, behavioral design is used in building human interaction with digital devices, architecture, reducing the crime rate, protecting against errors in organizing processes in healthcare, creating energy-saving and resource-saving products, creating eco-friendly products, increasing the safety of using products, solving problems associated with coronavirus, reduction of screen time, impact on public opinion, creation of virtual products for healthcare, education, welfare. In Russian practice, the potential of behavioral design is not realized. The research methodology is based on the combination of classical and multidisciplinary scientific approaches, including methods of behavioral economics, institutionalism and consumer marketing.

Research on the influencing factors of consumers’ green purchase behavior in the post-pandemic era

The severe impact of the COVID-19 pandemic on the world has caused consumers to think about environmental issues. Although green products are very important to environmental sustainability, the factors that influence consumers' purchase behavior of green products is unclear. This study aims to explore the impact mechanism of social media marketing on consumers' green product purchase behavior in the post-pandemic era. Based on the theory of planned behavior (TPB), this study constructs an extended TPB model to understand the influencing factors of Chinese consumers' green product purchase behavior in the post-pandemic era. The empirical results of 489 questionnaires show that social media marketing, product knowledge and crisis awareness have a direct or indirect positive influence on purchase intentions. Perceived behavioral control and intentions have positive effects on behavior. The attribution of responsibility facilitates the relationship between intentions and behaviors. The results have important implications for enterprises’ sustainability strategies and provide a framework for investigating green buying behaviors in Chinese culture in the post-pandemic era.

Impact of consumption values on consumers’ purchase of organic food and green environmental concerns

Purpose>This study aims to examine the impact of consumption values on consumers’ purchase of organic food and green environmental concerns. Additionally, the relationships between green environmental concerns and consumers’ purchase of organic food are investigated.Design/methodology/approach>A self-administered questionnaire was distributed to 500 consumers with experience in purchasing organic food in Pakistan. The covariance-based structural equation modeling (CB-SEM) technique was used for the data analysis using the Analysis of Moments Structure software version 23. The CB-SEM technique allows for the simultaneous estimation of all relationships.Findings>The CB-SEM technique reveals that of the 11 hypotheses tested, social value heavily influences consumers’ green environmental concerns. Moreover, consumers’ purchase of organic food is greatly impacted by conditional value. Consumers purchase organic food for their daily needs because they feel responsible for preserving and protecting the environment against global warming and its associated threats. This green purchasing behavior actually leads to better social approval, through its ability to impress others.Practical implications>Organizations and business owners should address green environmental concerns by seriously applying organic methods in the process of production, processing, packaging and selling of organic food products. Such organic practices would enable organizations and business owners to produce organic food products that are free from chemicals.Originality/value>The inclusion of consumption values strengthens the explanatory power of the proposed model in the context of Pakistani consumers’ purchase of organic food and green environmental concerns simultaneously. This study therefore adds new and substantial insights into the marketing theory.

Big Data Management Activities for Sustainable Business Performance During the COVID-19 Pandemic: Evidence from the Indian Pharmaceutical Sector

Grounded on resource-based view and dynamic capability perspectives, this research aims to explore linkages between the firm's big data management activities (BDMA), green manufacturing (GM) practices, and sustainable business performance (SBP). The research model was empirically evaluated using data collected from 248 pharmaceutical manufacturers in India during the COVID-19 pandemic. The analysis was performed using a covariance-based structural equation modeling using AMOS 20. The results indicate that GM activities impact SBP directly. Further results imply the mediating role of GM practices on the relationship between BDMA and SBP. The analysis reveals that senior management's resource commitment in pharmaceutical firms is a moderating mechanism in strengthening the association between BDMA and GM practices. This study is significant as it provides key theoretical and managerial implications for pharmaceutical sectors during emergent situations.

The green conundrum

Design:>This briefing is prepared by an independent writer who adds their own impartial comments and places the articles in context.Purpose:>This paper aims to review the latest management developments across the globe and pinpoint practical implications from cutting-edge research and case studies.Findings:>The expectation is that wealthy, democratic nations with strict environmental regulations would benefit corporations selling green products. Yet the opposite may in fact be the case, with authoritarian, poorer nations with minimal environmental oversight providing the best boost to financial performance for green corporations.Originality:>The briefing saves busy executives, strategists, and researchers hours of reading time by selecting only the very best, most pertinent information and presenting it in a condensed and easy-to-digest format.

Is Covid-19 changing sustainable consumer behavior? A survey of Italian consumers

Since the beginning of 2020, the world has been hit by the SARS-CoV-2 virus that causes Covid-19. To hamper its spread, policymakers of many countries have put in place strong countermeasures, including lockdowns, that have led to significant changes in people's lifestyles and daily routines. This article aims at assessing the changes caused by Covid-19 in sustainable consumer behavior under multiple perspectives, contributing to advance knowledge at the intersection between consumer dynamics and sustainable consumer behavior literature. A survey was conducted on 1.535 Italian consumers between December 2020 and February 2021. Respondents were asked to assess the extent to which their consumption behavior?purchase frequency, willingness to pay a premium price, sense of moral duty to purchase, social influence to purchase?related to several categories of sustainable products changed due to the pandemic, as well as the extent to which the pandemic impacted on many other aspects, including their environmental awareness, concern, and habits. Results show that Covid-19 generated relevant changes. Consumers have increased their purchase frequency and willingness to pay for sustainable products, show growing attention to environmental issues, and behave more sustainably. Further, the extent of change is strongly affected by socio-demographic variables, such as gender, age, income, and education. For instance, women reported a higher shift towards sustainable consumption and behavior than men. Understanding these changes is important to guide marketers and policymakers to respond promptly and effectively to them and to leverage on them to foster a transition towards a more sustainable society.

Building Predictive Model of Covid 19 Quarantine Impact on the Purchase of Environmentally Green Products by Using J48 and LMTAlgorithms

When COVID 19 pandemic appeared, World Health Organization officially announced on January 30, 2020, that the outbreak of the virus constituted a health emergency, and most countries of the world announced a quarantine of all citizens as one of the precautionary to limit the epidemic spread. The Kingdom of Saudi Arabia is one of the countries that announced quarantine, which had an impact on all aspects of life. This study is related to the impact of quarantine on the purchase of green products and effects on the environment, that by using machine learning algorithms. J48 and ML algorithms were used to Build a predictive model to estimate the effect of the quarantine for covid 19 on the purchase of environmentally friendly food products that in Zulfi region of the Kingdom of Saudi Arabia and found that J48 algorithm have highest performance compared to LMT algorithm.

A Theoretical Concept of an Innovative and Sustainable Product Based on an Unconventional Approach to Design Development

Health security measures have become increasingly important in tourism, as there is a heightened need to rebuild the trust of tourists in destinations and tourism services. Innovative product development might help respond to the emerging health-related needs of tourists. We address the lack of the application of Designcommunication (DIS:CO)-based approaches in the field of tourism, present a process for the theoretical development of a smart device, and explore its applications. Combining the results of the qualitative inquiry and applying DIS:CO in research and development, the concept of 4S—traveling Safe, Secure, Smart, and Sustainable—emerges in a socio-cultural and economic context, supporting the foundation of the material realisation of the product. As a result, the 4S concept presents how customised, continual feedback on the health condition of the user before and during a trip, and notifications about possible health risks in different tourist areas, might facilitate the process of trust-building. Although data on unconventional tourists is not included in tourism statistics, the designed product can assist in gathering information about them, too. With the permission of users, the built-in functions of the designed product can be used to detect their position and direction of movement. The product also helps monitor the health of tourists by providing up-to-date data on infection levels to tourism service providers. In its passive mode, as a souvenir, the device strengthens travel desire.