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The purpose of this paper is to find out possible barriers of information technology (IT) applications in the supply chain system of sugar industry in India. All these barriers have their strategic importance for serving the supply chain partners in better way and also help in improving the Indian agrarian economy. The study is a blend of theoretical and practical frameworks, which would focus on those key factors or IT barriers leading to implementation of IT in the sugar supply chain.

The paper is based on theoretical exploration of potential barriers IT applications in the supply chain system of sugar industry in India and prioritizing these barriers by employing multi-criteria decision-making approach.

The findings of this paper are identification of barriers of IT applications in the supply chain system of sugar industry in India, and ranking of these barriers in terms of its severity.

Potential barriers of IT applications in the supply chain system of sugar industry in India considered in to the study are 11 in total. There can be more barriers of IT applications in the supply chain system.

This study reveals the application of analytic hierarchy process (AHP) and fuzzy AHP to Indian sugar industry for prioritizing the IT barriers which influence the sugar supply chain.

Being an efficient mechanism for the value of money, public–private partnership (PPP) is one of the most prominent approaches for infrastructure construction. Hence, many controversies about the performance effectiveness of these delivery systems have been debated. This research aims to develop a novel performance management perspective by revealing the causal effect of key performance indicators (KPIs) on PPP infrastructures.

The literature review was used in this study to extract the PPPs KPIs. Experts’ judgment and interviews, as well as questionnaires, were designed to obtain data. Copula Bayesian network (CBN) has been selected to achieve the research purpose. CBN is one of the most potent tools in statistics for analyzing the causal relationship of different elements and considering their quantitive impact on each other. By utilizing this technique and using Python as one of the best programming languages, this research used machine learning methods, SHAP and XGBoost, to optimize the network.

The sensitivity analysis of the KPIs verified the causation importance in PPPs performance management. This study determined the causal structure of KPIs in PPP projects, assessed each indicator’s priority to performance, and found 7 of them as a critical cluster to optimize the network. These KPIs include innovation for financing, feasibility study, macro-environment impact, appropriate financing option, risk identification, allocation, sharing, and transfer, finance infrastructure, and compliance with the legal and regulatory framework.

Identifying the most scenic indicators helps the private sector to allocate the limited resources more rationally and concentrate on the most influential parts of the project. It also provides the KPIs’ critical cluster that should be controlled and monitored closely by PPP project managers. Additionally, the public sector can evaluate the performance of the private sector more accurately. Finally, this research provides a comprehensive causal insight into the PPPs’ performance management that can be used to develop management systems in future research.

For the first time, this research proposes a model to determine the causal structure of KPIs in PPPs and indicate the importance of this insight. The developed innovative model identifies the KPIs’ behavior and takes a non-linear approach based on CBN and machine learning methods while providing valuable information for construction and performance managers to allocate resources more efficiently.

The purpose of this study is to examine the role of artistic elements in a shopping mall’s experiential marketing strategy and the effects of artistic elements on customer shopping value (e.g. utilitarian, hedonic and symbolic) and shopper response (e.g. satisfaction, behavioural intention).

Data were collected from 300 shoppers in a shopping mall in Bangkok, Thailand. A partial least square-structural equation model was used to examine the impact of the artistic elements along with other elements in the shopping mall on shopper response through perceived shopping value.

Empirical evidence shows that artistic elements in an artified mall have a positive effect on customer hedonic and symbolic value, which in turn leads to positive shopper response. Artistic elements perform better than other elements in predicting symbolic value.

The findings suggest that artistic elements should be considered a new source of mall differentiation and customer experience enhancement. Unique artistic elements add emotional and symbolic appeal to the mall, and mall managers should carefully choose artistic content that matches the position and target shoppers of their mall.

This paper proposed and empirically examined the effect of artistic elements as the new fourth atmospheric element. It extends the art infusion theory by applying it to the “non-luxury” shopping mall context to demonstrate the spillover effect of art on shopping value, which further influence shopper response.

A quadrilateral linear element for plane stress/plane strain analysis, formulated using a system of bars located at the Gauss integration points, is presented. A special bar element is formulated and the finite element is thereafter considered as an assembly of bars. The formulation presented is used in an attempt to explain the numerical problems arising when considering incompressible materials and reduced integration.

Social capital (SC), emerging as a new type of capital with 1980s, is defined as resources such as knowledge, opportunities, power, goodwill, and cooperation, achieved by means of interpersonal relationships. Businesses in possession of these resources will clearly gain an economic competitive advantage. This study was designed to determine how SC affects survival skills of businesses in economic competition. In this study, where qualitative research methods were used, data were obtained through semi-structured interviews with 40 micro- and small business owners, most of whom are second and third generations, operating in Antakya Long Bazaar, and three managers in charge of the management of Long Bazaar. Interviews were recorded with a voice recorder and note-taking technique. After transcription of voice recordings, the researchers coded and categorized the raw data and obtained themes and subthemes. Obtained data were analyzed with MAXQDA 20 software. In line with the performed qualitative analysis, responses of owner-managers were categorized in trust, trust promoting mechanisms (establishments, norms, and sanctions), network participation, collective action and cooperation, and learning aspects of SC. Questions on identification of variables and structural characteristics, which are prominent in determination of SC, were addressed to managers in charge of the management of Long Bazaar, thereby revealing the situation pertaining to the general structure.

While previous studies have proved the significance of family firm innovativeness (FFI), the question of how the emotion-regulation capabilities of family business managers affect FFI still remains open. This paper aims to examine the impact of the emotion-regulation capabilities of family business managers on FFI moderated by the family involvement in business management.

The present study is based on a quantitative research design. Data were collected with the help of a telephone survey. Overall, 192 family firms were surveyed, and the results were analysed using structural equation modelling (SEM).

The findings indicate that managers' emotion-regulation capabilities (independent variable) positively impact FFI (dependent variable). The research results also indicate that having more family members involved in the business (moderating variable) can lead to better innovation outcomes, assuming these family managers have sufficient emotion-regulating capabilities.

The research context could be broadened by differentiating between the industries in which family firms operate. This could aid a better understanding of the challenges, opportunities and market trends in different sectors. Future research might also include more diverse countries with deep family business traditions, strengthening the robustness of the findings across more varied contexts.

Using a multi-level perspective, this study contributes to the dynamic managerial capabilities and family business literature by showing that, in an environment where familial relationships can affect working relationships, the ability of managers to control their emotions and others' emotions can be a critical managerial resource that impacts FFI.

The purpose of this study is to evaluate the knowledge and practices of selected group of Polish children in early school age in terms of issues such as: (1) the principles of food preparation, storage and eating meals; (2) personal hygiene; and (3) basic information about microorganisms.

The auditorium survey method was used. The questionnaire consisted of 15 questions related to the children's knowledge of personal hygiene, the principles of food preparation and storage and the physiology of microorganisms and 13 questions related to the children's personal and food hygiene practice. In total, 169 questionnaires were collected. The study group of children had incomplete knowledge and often reported inappropriate food hygiene practices.

The subjects of food preparation and storage and knowledge of microbes were particular problem areas. By contrast, aspects related to handwashing, the appropriate practices while coughing or sneezing and washing fruit before consumption were positively evaluated. The children demonstrated the most knowledge in the field of personal hygiene. However, a very low percentage of correct answers was noted for the question about handwashing at school. None of the 13 questions related to this practice received more than 90% correct answers. The boys and girls demonstrated a comparable level of knowledge and practice in the area of food safety. It was showed that the place of school influenced answers to a greater extent compared to gender.

The results of the study play an important role in the prevention of food poisoning and are useful for the teachers, staff of training institutions and parents. They can also inspire institutions in countries with a high incidence of food poisoning to search for the causes in the inappropriate hygienic practices of young children.

In the paper we provide new evidence on the predictability of Scandinavian stock returns, when utilizing the determinants of global capital asset pricing. Three factors are extracted by principal components factor analysis. The VARIMAX‐rotated factor loadings matrix clearly suggests the presence of geographically distinguished returns generating factors: Europe, Asia and America. The corresponding factor price series are used as driving forces for the Finnish and Swedish market returns. The results indicate that the predictability of Scandinavian stock returns is significantly improved by the world factors.

1.1. Logical Necessity of the Three Dimensions as a Unit of Thought The mathematician does not look kindly on the simple question of why natural space should consist of precisely three dimensions. Instead of giving an answer he assumes a silent smile and shows us a version of space with an infinity of dimensions, as if space were some kind of toy for him to fiddle with to his heart's content.