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The domains of Industry 4.0 and Smart Farming encompass the application of digitization, automation, and data-driven decision-making principles to revolutionize conventional sectors. The intersection of these two fields has numerous opportunities for industry, society, science, technology and research. Relatively, this intersection is new, and still, many grey areas need to be identified. This research is a step toward identifying research areas and current trends.

The present study examines prevailing research patterns and prospective research prospects within Industry 4.0 and Smart Farming. This is accomplished by utilizing the Latent Dirichlet Allocation (LDA) methodology applied to the data procured from the Scopus database.

By examining the available literature extensively, the researchers have successfully discovered and developed three separate research questions. The questions mentioned above were afterward examined with great attention to detail after using LDA on the dataset. The paper highlights a notable finding on the lack of existing scholarly research in the examined combined field. The existing database consists of a restricted collection of 51 scholarly papers. Nevertheless, the forthcoming terrain harbors immense possibilities for exploration and offers a plethora of prospects for additional investigation and cerebral evaluation.

This study examines the Industrial Revolution's and Smart Farming's practical effects, focusing on Industry 4.0 research. The proposed method could help agricultural practitioners implement Industry 4.0 technology. It could additionally counsel technology developers on innovation and ease technology transfer. Research on regulatory frameworks, incentive programs and resource conservation may help policymakers and government agencies.

The paper proposes that the incorporation of Industry 4.0 technology into agricultural operations can enhance efficiency, production and sustainability. Furthermore, it highlights the significance of creating user-friendly solutions specifically tailored for farmers and companies. The study indicates that the implementation of supportive legislative frameworks, incentive programmes and resource conservation methods might encourage the adoption of smart agricultural technologies, resulting in the adoption of more sustainable practices.

This study examines the Industrial Revolution's and Smart Farming's practical effects, focusing on Industry 4.0 research. The proposed method could help agricultural practitioners implement Industry 4.0 technology. It could additionally counsel technology developers on innovation and ease technology transfer. Research on regulatory frameworks, incentive programs and resource conservation may help policymakers and government agencies.

Based on a thorough examination of existing literature, it has been established that there is a lack of research specifically focusing on the convergence of Industry 4.0 and Smart Farming. However, notable progress has been achieved in the field of seclusion. To date, the provided dataset has not been subjected to analysis using the LDA technique by any researcher.

Environmental sustainability is quickly becoming one of the most critical issues in industry development. This study aims to conduct a systematic literature review through which the author can provide various research areas to work on for future researchers and provide insight into Industry 4.0 and environmental sustainability.

This study accomplishes this by performing a backward analysis using text mining on the Scopus database. Latent semantic analysis (LSA) was used to analyze the corpus of 4,364 articles published between 2013 and 2023. The authors generated ten clusters using keywords in the industrial revolution and environmental sustainability domain, highlighting ten research avenues for further exploration.

In this study, three research questions discuss the role of environmental sustainability with Industry 4.0. The author predicted ten clusters treated as recent trends on which more insight is required from future researchers. The authors provided year-wise analysis, top authors, top countries, top sources and network analysis related to the topic. Finally, the study provided industrialization’s effect on environmental sustainability and the future aspect of automation.

The reliability of the current study may be compromised, notwithstanding the size of the sample used. Poor retrieval of the literature corpus can be attributed to the limitations imposed by the search words, synonyms, string construction and variety of search engines used, as well as to the accurate exclusion of results for which the search string is insufficient.

This research is the first-ever study in which a natural language processing technique is implemented to predict future research areas based on the keywords–document relationship.

This research aims to empirically test the boundary conditions under which the archetype-based narrative structure of storytelling brand advertisement through internal endorsement can generate brand love by making the consumers anthropomorphize the brand archetype.

Two studies based on survey and experimentally designed stimuli were conducted to validate the conceptual framework. The data were analyzed using confirmatory factor analysis and process macro on SPSS.

The results support that when the brand is endorsed in the storytelling ad by an internal endorser or storyteller, the narrative structure of the storytelling ad impacts brand love via the anthropomorphization of the brand archetype. The congruence between the internal storyteller’s personality and the archetype’s personality moderates the effect of the narrative structure on the anthropomorphization of the brand archetype, leading to brand love. The psychological sense of brand community further conditions the moderating impact of congruence.

The research provides insights to the brand marketers that internally endorsed archetype-based storytelling brand ads can be effective when the personality of the internal endorser is congruent with the personality of the archetype and the target consumers have a strong psychological sense of brand community.

Consumer brand relationship literature has recently seen a surge of studies on brand hate, its antecedents and outcomes. Hate alone will not drive consumers to engage in negative electronic word-of-mouth (eWOM) and indicates the interplay of other social relationship factors that can strengthen the effect of brand hate on negative eWOM. The purpose of this study is to integrate the emerging concept of brand hate and perceived social media power with the theory of planned behavior (TPB) to expand the understanding of negative eWOM.

Data is collected through a survey conducted among university students based in the National Capital Region of Delhi in India. The research model is empirically tested using structural equation modeling in AMOSv23.

The three TPB dimensions, including brand attitude, subjective norms and individual’s propensity to anthropomorphize, are found to influence brand to hate significantly. The other perceived control factors included in the model, perceived homophily and social media self-efficacy, were found to affect perceived social media power, which, in turn, is crucial in predicting consumers’ engagement in negative eWOM behavior, both directly and through interaction with brand hate.

The study contributes to brand hate literature and offers a novel perspective by advocating the role of consumers’ propensity to anthropomorphize in augmenting feelings of brand hate.

This paper aims to understand how strong brand attachment can intensify the feeling of perceived betrayal, leading to brand hate after a negative experience with the brand. The study further investigates how consumers make causal attributions for negative experiences when strong brand attachment exists. The moderating effect of a narcissistic personality in the dissemination of negative electronic word of mouth (eWOM) following brand hate is also tested.

The study uses a within-the-subject repeated measures experimental design. A total of 202 college students were exposed to two treatments (high versus no brand attachment), involving a situation of product failure of a smart phone brand. A total of 135 responses were used to compare the outcomes of the two treatments using multivariate analysis. The data of high brand attachment treatment (N = 202) were used to test the proposed research model using partial least square-structural equation modelling.

The results suggest that having a strong positive relationship with the brand can generate stronger feelings of perceived betrayal and brand hate after the brand transgresses the consumer’s expectations. The results indicate that resentful customers can resort to eWOM after feeling betrayed, even though the prior relationship with the brand was strong.

This paper extends the work on perceived betrayal to study brand hate and proposes that brand hate can arise even if there is a strong brand attachment. It contributes to the growing body of literature on brand hate and its possible antecedents. Additionally, the study poses some crucial managerial implications for the brand managers by suggesting that strong brand relationships not always ensure loyalty or commitment and can lead to consequences that are damaging for the brand equity.

This research is conducted in the context of beauty salons in India, to investigate how enhanced perceived acceptance in interpersonal relationships through consuming beauty salon services can generate narcissistic brand love among consumers via the mediation of brand happiness. It also investigates the moderating impact of consumer's anxious interpersonal attachment style and cynicism on the relationship between perceived salon brand-interpersonal acceptance goal congruence and salon brand happiness.

To test the hypothesized relationships, a survey was conducted among 225 regular consumers of beauty salon brands. The data were analyzed using Hayes' (2017) process macro in SPSS.

The results suggest that perceived goal congruence between beauty salon brand-interpersonal acceptance positively influences brand happiness, which in turn predicts consumer's narcissistic brand love. Consumer's anxious interpersonal attachment style positively moderates the effect of brand-interpersonal acceptance goal congruence on brand happiness, while cynicism negatively moderates the path.

Value of the study lies in extending interpersonal acceptance and rejection (IPAR) theory to the domain of consumer–salon brand relationship, to posit that if salon brands satisfy consumers' interpersonal acceptance goals, there is a potential for such happy consumers to love the salon brand, albeit narcissistically.

The construction industry presents a particularly notable and demanding setting where sexual harassment demands special consideration. With its largely male-dominated workforce, intense work settings and entrenched workplace norms, the construction sector provides a unique backdrop in which the complexities of sexual harassment manifest. The purpose of this study is to investigate the relationship between sexual harassment and employee performance in the construction industry, with a particular focus on examining the mediating roles of psychological distress and employee engagement.

A cross-sectional survey design was utilized to collect data from 188 construction industry professionals. Participants completed validated questionnaires assessing their experiences with sexual harassment, levels of psychological distress, employee engagement and self-reported performance indicators. Partial least square-structural equation modeling (PLS-SEM) was conducted to examine the direct and mediated effects of sexual harassment on employee performance through psychological distress and employee engagement.

The findings reveal a lack of statistical significance in the negative relationship between sexual harassment and employee performance within the construction sector. Furthermore, there was a significant negative relationship between sexual harassment and employee engagement. Employee engagement emerged as a full mediator, buffering the negative effects of harassment on performance and suggesting that engaged employees may be better equipped to cope with and mitigate the impact of harassment.

The study’s findings contribute to understanding workplace dynamics amidst sexual harassment in construction. Work engagement fully mediates the relationship, highlighting the need to prioritize initiatives aimed at enhancing employee engagement, such as promoting a supportive and fostering open communication channels between management and employees, can mitigate the occurrence and negative impacts of sexual harassment on employee performance. Continuous monitoring of engagement levels is crucial for sustaining positive work environments.

This study contributes to the existing literature by providing quantitative evidence of the relationship between sexual harassment and employee performance in the construction industry. By examining the mediating roles of psychological distress and employee engagement, the research offers a deeper understanding of the mechanisms underlying this relationship. The findings underscore the importance of addressing sexual harassment and promoting employee well-being to foster a safe and productive work environment in the construction industry.