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The rise of social media has led to the emergence of influencers and influencer marketing (IM) domains, which have become important areas of academic inquiry. However, despite its prominence as an area for study, several significant challenges must be addressed. One significant challenge involves identifying, assessing and recommending social media influencers (SMIs). This study proposes a semantic network model capable of measuring an influencer's performance on specific topics or subjects to address this issue. This study can assist managers in identifying suitable SMIs based on their estimated reach.

Data from popular YouTube influencers and publicly available performance measures (views and likes) are extracted. Second, the titles of the past videos made by the influencer are used to develop a semantic network connecting all the videos to other videos based on similarity measures. Third, the nearest neighbor approach extracts the neighbors of the target title video. Finally, based on the set of neighbors, a range prediction is made for the views and likes of the target video with the influencer.

The results show that the model can predict an accurate range of views and likes based on the suggested video titles and the content creator, with 69–78% accuracy across different influencers on YouTube.

The current study introduces a novel and innovative approach that exploits the textual association between a SMI's previous content to forecast the outcome of their future content. Although the findings are encouraging, this research recognizes various constraints that upcoming researchers may tackle. Forecasting views of posts concerning novel subjects and precisely adjusting video view counts based on their age constitute two primary limitations of this study.

Managers interested in hiring influencers can employ the suggested approach to evaluate an influencer's potential performance on a specific topic. This research aids managers in making informed decisions regarding influencer selection, utilizing data-based metrics that are simple to comprehend and explain.

The study contributes to outreach evaluation and better estimating the impact of SMIs using a novel semantic network approach.

Flaxseed is considered as a source of functional ingredients because it contains alpha-linolenic acid and high amount of dietary fiber which provides potential health benefits. Therefore, this paper aims to evaluate the effect of flaxseed flour on the quality of mutton nuggets.

Mutton nuggets were incorporated with three different levels of hydrated flaxseed flour (1:1), namely, 4, 8 and 12 per cent to optimize the level of incorporation. Detailed profile analysis was carried out to study various physico-chemical parameters, texture profile analysis and color values in the product with optimum level and compared with control product.

There was no significant difference (p > 0.05) in sensory attributes of product with 4 and 8 per cent level of incorporation except for binding; however, significantly lower (p < 0.01) scores were observed for 12 per cent incorporation level. On the basis of sensory scores, 8 per cent level of incorporation was adjudged as optimum. Incorporation of flaxseed flour resulted in significantly lower (p < 0.01) moisture content, but higher (p < 0.01) fat and dietary fiber content. Texture profile analysis showed increased hardness of the product but resulted in decreased springiness and chewiness parameters. Incorporation of flaxseed flour significantly increased (p < 0.01) redness and yellowness of the product which improved overall acceptability.

The research work is original.

The purpose of this paper is to analyze the origins and evolution of the concept of servitization by studying the definitions of servitization provided in the literature. Servitization represents an academic field that has grown rapidly since its inception. However, the conceptualization of servitization varies greatly, in part because of the number of studies on this topic and the fact that it has been analyzed in a range of disciplines using a number of theoretical approaches. There is a need to standardize the vocabulary to create a general definition that can support the development of theory in this domain and help legitimize servitization as a research area.

This study conducts a systematic, quantitative analysis of a broad set of definitions of servitization. Specifically, this study performs content analysis (combining co-word analysis and social network analysis) and consensus analysis. This study develops a strategic diagram to represent the morphology of the research network.

The definitions of servitization are deconstructed and analyzed in depth to create a comprehensive picture of the research on this topic. This analysis reveals the origins and evolution of this research area. The results show a low degree of consensus among scholars regarding the concept of servitization. This study proposes a definition that should be widely accepted thanks to its inclusion of the core terms from other definitions. Explicit recognition of multiple approaches to defining the term can help practitioners and researchers. Predictions about future progress in this area are discussed.

A universal definition of servitization is proposed based on the results of co-word and network analysis. This definition unifies a range of multidisciplinary viewpoints. From a practical perspective, the key vocabulary in servitization research is highlighted.

Under the carbon regulation mechanism, managing operational strategies is a challenging task. Green innovation is introduced into a hybrid system of manufacturing and remanufacturing to handle the carbon emission constraints in a dynamic market environment. This paper aims to investigate the joint dynamic green innovation policy and pricing strategies in a hybrid manufacturing and remanufacturing system.

This paper first considers a monopolistic manufacturer who offers brand-new products and remanufactured items at the same price to consumers. Subsequently, the authors extend their analyses to distinct pricing strategies for both newly manufactured products and refurnished ones in such a hybrid system. Two different cases are considered: a loose carbon emission constraint and a binding carbon emission constraint. By solving the dynamic optimization problem, the differential game and Pontryagin’s maximum principle are used to obtain the joint green innovation and pricing strategies.

The retail price first increases then declines over a single period. The green innovation diminishes in the same pricing decision model, while it first increases then declines in a distinct pricing decision model over a single planning horizon. The green innovation investment as well as the retail price are discouraged by an emission cap and recycling fraction. The distinct retail price fluctuates violently, and they are, in descending order of the highest peak price as follows: the newly manufactured product, the same pricing product and the repaired product. Carbon emission caps that are either too high or too low decrease the revenue of the manufacturer. A small emission constraint margin benefits the manufacturer. The recycling policy, as well as other parameters, affects whether the hybrid system attains the carbon emission constraint or not, which suggests that the recycling policy is complementary to the carbon emission constraint mechanism in the hybrid system.

These results offer managerial implications to the hybrid system in terms of green innovation, pricing strategies and recycling policy.

This paper is among the first papers to research the joint dynamic green innovation policy and pricing strategies with/without a carbon emission constraint in a hybrid manufacturing and remanufacturing system with a differential game. Moreover, this paper presents a potential way of investigating other common resource constraints by a differential game in a manufacturing/remanufacturing system or closed loop supply chain.

The purpose of this paper is to investigate the optimal production and financing strategies for the closed-loop supply chain (CLSC) composed of a capital-constrained original equipment manufacturer (OEM) and a risk-averse authorized remanufacturer (RM).

The authors formulate four models with different scenarios, namely, the OEM has sufficient capital; the OEM has limited capital without financing; the OEM adopts debt financing strategy; and the OEM adopts equity financing strategy. The equilibrium solutions of each scenario are obtained by backward induction method, the influences of risk aversion coefficient on the equilibrium solutions are examined and the OEM's optimal financing strategy is found by comparison analysis.

When the OEM's initial capital is limited and the equity dividend ratio is less than a certain threshold, the equity financing strategy is more advantageous for the OEM. However, if the OEM's initial capital is extremely scarce and the dividend proportion is large, the OEM prefers the debt financing strategy. When considering financing, consumer surplus always decreases as the risk aversion factor increases; the debt financing strategy is more environmentally friendly compared with the equity financing strategy. Only the debt financing strategy can make both members in the CLSC achieve a win-win situation in a certain region when the dividend ratio is sufficiently large.

It will be more fascinating if the model extends to such a case that the production operation situation in the CLSC composed of multiple OEMs in multiple periods. Furthermore, the remanufacturer's risk-averse information is asymmetry may be more realistic in our daily life.

There are three main differences from the existing research. One is that the remanufacturer's risk aversion originates from the uncertain remanufacturing cost instead of the uncertain market demand. Another is that the boundary conditions of the OEM prefer to adopt debt financing is obtained through the envelope theorem with Lagrange multiplier method. Last but not the least, this paper provides a good theoretical reference and practical guidance for the OEM to make the rational financing strategy selection in face of different degree of capital scarcity in the CLSC system. The value of the three aspects provides a theoretical basis for the optimal operation decisions of capital-constrained manufacturer considering the remanufacturer's risk aversion in the CLSC operation system.

The COVID-19 outbreak has profoundly plagued the world, and current health efforts are focused on providing prevention and ensuring access to intensive services for people with the most severe symptomatology. Many reports have already described substantial psychological distress in the general population. Nevertheless, disasters tend to affect vulnerable subjects disproportionately, and individuals with intellectual disabilities/autism spectrum disorder with high and very high support needs (PwID/ASD-HSN) seem to be counted among the hardest hit populations. The present paper aims to provide a comprehensive discussion and evaluation of COVID-19 related issues specific to PwID/ASD-HSN.

Commentary on available literature and analysis of new preliminary data on PwID/ASD-HSN’s physical and psychic vulnerability factors. This knowledge is fundamental to provide families and caregivers special advice to counteract the risks associated with the current pandemic.

PwID/ASD-HSN represent one of the most vulnerable population to the COVID-19 outbreak and the associated factors of mental distress for several reasons, including multimorbidity, low levels of health literacy, difficulties to understand and communicate, reliance on other people for care, low compliance with complex hygiene rules, the strong need of routine/sameness and low adaptive skills.

In the present work, the authors analyze the specific factors of physical and mental vulnerability in PwID/ASD-HSN, corroborating the dissertation with a discussion on the first data published worldwide and with preliminary data collected on the Italian territory for what concerns prevalence rates of COVID-19 and complications in persons with PwID/ASD-HSN and signs and symptoms of psychic distress during the mass quarantine period.