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Social networks have changed the communication patterns significantly. Information available from different social networking sites can be well utilized for the analysis of users opinion. Hence, the organizations would benefit through the development of a platform, which can analyze public sentiments in the social media about their products and services to provide a value addition in their business process. Over the last few years, deep learning is very popular in the areas of image classification, speech recognition, etc. However, research on the use of deep learning method in sentiment analysis is limited. It has been observed that in some cases the existing machine learning methods for sentiment analysis fail to extract some implicit aspects and might not be very useful. Therefore, we propose a deep learning approach for aspect extraction from text and analysis of users sentiment corresponding to the aspect. A seven layer deep convolutional neural network (CNN) is used to tag each aspect in the opinionated sentences. We have combined deep learning approach with a set of rule-based approach to improve the performance of aspect extraction method as well as sentiment scoring method. We have also tried to improve the existing rule-based approach of aspect extraction by aspect categorization with a predefined set of aspect categories using clustering method and compared our proposed method with some of the state-of-the-art methods. It has been observed that the overall accuracy of our proposed method is 0.87 while that of the other state-of-the-art methods like modified rule-based method and CNN are 0.75 and 0.80 respectively. The overall accuracy of our proposed method shows an increment of 7–12% from that of the state-of-the-art methods.

The purpose of this paper is to benchmark the energy use of Indian iron and steel industry. For this purpose, the authors have estimated a production frontier to know the best performing states. Further, the energy-saving targets are estimated to lie below the benchmark level for those states. Panel data for this purpose are extracted from the Annual Survey of Industry (an official database from the government of India) for 19 major steel-producing states over the period from 2004–2005 to 2013–2014.

The authors employed a radial and non-radial (slack-based measure) variant of the data envelopment analysis (DEA) to estimate the production frontier. Particularly, slack-based measures (SBMs) developed by Tone (2001) are used to get a more comprehensive measure of energy efficiency along with technical efficiency. Variable returns to scale technology is specified to accommodate market imperfection and heterogeneity across states. Four inputs (capital, labour, energy and material) and a single output are conceptualised for the production process to accommodate input substitution. The relative position of each state in terms of the level of energy efficiency is then identified.

The authors started by examining energy-output ratio. The average level of energy intensity shows declining trends over the period of time. States like Bihar, Jharkhand, Gujarat and Uttarakhand remain stagnant in the energy intensity level. SBM of energy efficiency shows an overall average energy saving potential of 8 per cent without reducing average output level. Considerable heterogeneity exists among states in terms of the energy efficiency scores. Further, the authors calculated scale efficiency (SE) which shows the overall average level of SE is 0.91; hence, the scale of operation is not optimal and needs to adjusted to enhance energy efficiency.

The authors demonstrate the empirical application of DEA with SBM to energy use performance. This is the first study that benchmarks Indian states in terms of the consumption of energy input to produce iron and steel by applying DEA.

While new product introductions can potentially promote growth and benefit for brands, it remains unclear how marketers can develop effective communication strategies to increase the chance of success for new products. The present research investigates the role of cuteness in leveraging the effectiveness of a narrative emphasizing an insight versus an effort in this regard.

This research presents two experimental studies. Study 1 examines the moderating role of cuteness on the likelihood of purchasing a new product featuring an insight-based (vs effort-based) narrative. Study 2 extends the findings of Study 1 using different stimuli and establishes the underlying mechanism.

Results show that when a cuteness appeal is present, an insight-based (vs effort-based) narrative will lead to a higher purchase likelihood. However, these differences do not emerge when a cuteness appeal is absent (a control condition). Further, perceived brand creativeness will mediate this effect.

The findings of this research contribute to the literature on lay belief of creativity, cuteness, and product narrative, as well as managerial implications on how to promote new products.

This study aims to integrate the stimulus-organism-response (SOR) theory with Mair and Noboa’s (2006) model to evaluate the stimulating role of education-related stimuli (i.e. entrepreneurial education, curriculum and lecturer competency) and the moderation impact of perceived university support on students’ emotional and cognitive processes of social entrepreneurship.

A sample of 401 university students in Vietnam and a three-step analysis approach via SPSS 28.0 and AMOS 25.0 were used to test the hypothesized model.

This study revealed that while entrepreneurship education and lecturer competency are positively associated with psychological organisms, then in turn affect social entrepreneurial intention and behaviors, the curriculum seems to be less significant. Social entrepreneurial intention was positively affected by social entrepreneurial self-efficacy and perceived social support, but not significantly influenced by empathy or moral obligation. As expected, the higher the perceived university support, the stronger the relationship between social entrepreneurial intention and social start-up behavior.

The findings of this study can be valuable for educators, policymakers and practitioners to inspire students’ entrepreneurial activities.

This study contributes to the entrepreneurship literature by adopting SOR theory to investigate the importance of education-related stimuli, exploring the underlying mediation mechanism of emotional and cognitive organism and explaining the moderation role of perceived university support in the fostering of students’ social entrepreneurship.

This study contributes to current efforts to design and implement sustainable innovation strategies in organisations from the textile industry. This study aims to examine how businesses can overcome the current challenges (e.g. lack of resources) of sustainable innovation by the incorporation of green knowledge of customers into their value co-creation strategies. Such strategies are based on actively listening to customers and addressing their expectations with regard to environmental sustainability, in particular in the face of the negative environmental impact of the fast-fashion industry.

The findings of this study are derived from the analysis of data collected from 208 small and medium enterprises (SMEs) in the Spanish textile sector. A partial least squares structural equation modeling analysis was conducted using version 3.3.3 of the SmartPLS software.

This paper contributes to the literature on environmental sustainability by informing SME eco-innovation through the active listening of their customers’ perceptions while implementing value co-creation strategies. The research has found that engaging with customers and actively listening and addressing their expectations can result in the creation of green knowledge that contributes to both incremental and radical eco-innovation in the textile sector.

This study found that when organisations from the sector lack eco-innovation capabilities, their existing and often their potential customer base is able to acquire new environmental knowledge and transfer it to the business through a process of value co-creation. The research also found that such green knowledge has the potential to lead to eco-innovation in the sector. In other words, the value co-creation process between the textile industry and its customers is a driver of the eco-innovations required to reduce the environmental impact of the sector, helping it address both its sustainability and its ethical challenges.

This study proposes that co-creation challenges such as the lack of resources, funding, qualified staff or technologies motivate companies in the textile sector to collaborate with their customers to seek joint solutions.

This paper aims to identify how cute packaging design elements can influence young adult purchases of unfamiliar products, especially the perceived old-fashioned ones.

Two studies were conducted systematically with 240 young adults. The first study manipulated product characters, fonts, colors and storytelling styles to determine the cutest packaging elements. Packaging samples containing the cutest elements from Study 1 were tested for their effect on purchase intention in Study 2, moderated by product familiarity.

Anthropomorphized product characters, curvy, handwritten-like fonts, a mixture of colors and superhero story-like product information were considered the whimsically cutest packaging elements by young adults. Whimsically cute packaging design can bridge consumer product unfamiliarity and generate higher purchase intention.

Whimsically cute packaging design could be a promising alternative for marketers promoting unfamiliar products to young adult consumers.

This study's findings complement existing literature on cute packaging design, whimsical cuteness and extrinsic cue utilization theory.

This study aims to explore the perception of Algerian Zakat payers regarding the adoption of technology within the Algerian Zakat Fund.

A survey was administered to a convenience sample of 460 Algerian Zakat payers. The survey was designed by combining the Extended Technology Acceptance Model (TAM 2) and Theory of Reasoned Actions (TRA) frameworks to provide an in-depth understanding of the factors that influence the model acceptance among the Algerian Zakat payers. The findings were subsequently analyzed to evaluate convergent and discriminant validity as well as composite reliability. Structural equation modeling was applied to examine the causal relationship among all proposed constructs.

The data reveal that all the hypotheses from the TAM 2 and TRA theories were supported, demonstrating the model’s significant acceptance among Algerian Zakat payers.

The originality of this study lies in its unique combination of both the TRA and the Extended TAM 2 within the context of Zakat. It examines the integration of the aforementioned theories to assess the acceptance of Algerian Zakat payers to the suggested Zakat Fintech-based model. This model is specifically tailored to address the challenges encountered by the Algerian Zakat Fund, offering innovative solutions to enhance management and governance mechanisms while aligning with Islamic financial principles.

This study aims to explore the role of sustainable fashion knowledge in shaping individual sustainable responsibility within the dynamic landscape of the fashion industry from a novel perspective, by exploring the intricate interplay between sustainable fashion knowledge, emotional and spiritual sustainable capacities.

A quantitative study was used, and a causal model with partial least squares structural equation modeling was developed. A total of 211 valid responses were obtained, and data were analysed to confirm the proposed hypotheses.

The findings confirm the positive impact of sustainable fashion knowledge on individual sustainable responsibility, mediated by both spiritual and emotional sustainable capacities. This study underscores the significance of individuals in influencing societal norms, prompting fashion companies to adopt sustainable practices.

The proposed conceptual framework integrates insights from the emotional and spiritual knowledge dynamics. This study uncovers the pathways through which individuals contribute to a more sustainable society.

The study not only advances the understanding of sustainable fashion practices but also provides actionable insights for policymakers, businesses and individuals seeking to foster a culture of sustainability in the fashion ecosystem.

This study aims to focus on the dynamics in influencer-consumer relationships to understand how Generation Z consumers’ identification and social comparison with influencers shape their response to influencers’ branded posts. Specifically, this study investigates how perceived similarity and wishful identification lead to distinct social comparison mechanisms that affect Generation Z consumers’ self-improvement motives, which, in turn, drive their message engagement, brand attitudes and purchase intentions.

An online survey was conducted with 295 college students who are digital natives and whose purchase decisions are heavily influenced by social media influencers.

The study findings confirmed that perceived similarity positively influenced assimilative comparison emotions of optimism, admiration and aspiration while negatively influenced contrastive comparison emotions of envy, depression and resentment. Wishful identification positively affected both assimilative and contrastive comparison emotions. Both types of social comparison emotions further affected consumers’ motivations to follow the influencer for self-improvement, thereby enhancing their brand attitude, purchase intention and engagement behaviors.

This study is one of the earliest attempts to investigate the relationship dynamics between influencers and consumers from the lens of social comparison. The study examines the antecedents of perceived similarity and wishful identification, the mediators of upward comparison emotions and self-improvement motives and the brand evaluation outcomes of message engagement, brand attitude and purchase intention.

Values are both an effective variable and a powerful stimulus for consumer behavior. Values are different concepts and classifications influenced by factors such as culture and religion in different societies. This paper aims to identify the classification of values in an Islamic country’s context, Iran.

Iranian dominant values were identified through qualitative analysis and in-depth interviews with 77 interviewees. Grounded theory was used to identify theoretical categories that are derived from the interview data through the use of the constant comparative method.

The findings revealed three categories of hedonic, utilitarian and Islamic spiritual values, which include 10 types of values. The third value (Islamic spiritual) was identified and defined according to the Iranian Islamic religion and ideology. Interviewees expressed their values, attitudes and behaviors within the framework of their unique value system.

To the best of the authors’ knowledge, this paper is one of the first articles that pay special attention to Islamic spiritual values as an influential value category in the buying behaviors and intentions of Iranian consumers. Undoubtedly, identifying these values can be an introduction to studying behaviors influenced by values and a powerful tool for managers to predict and evaluate Islamic consumers’ behavior and lifestyles.