Conference PaperPDF Available

REASONS FOR ONE-WAY COMMUNICATION AND POSSIBLE WAYS TO IMPROVE COMMUNICATION IN COMPANIES FROM EMPLOYEES’ POINT OF VIEW

Authors:
  • Sveučiliste u Slavonskom Brodu
  • University of Zadar/Libertas International University

Abstract

Communication in companies is essential to achieve the set goals of the company. If all team members are not equally committed to achieving organizational goals, they will not be achieved or will not be achieved to the extent planned. With the joint action and effort of all employees and managers, the synergy effect in companies will be more significant, and the involvement of all workers. Without communication, it would be impossible to achieve the set goals in companies, the desired planned profit and customer satisfaction, or customers. Managers are responsible for the communication process in companies, and all stakeholders in the communication process, all employees, are co- responsible. When there are “noises” in communication, then communication in the company is one-way, which reflects very quickly on the business process and ultimately on the company’s profits and customer or customer satisfaction. Communication between co-workers or co-workers and managers is not twoway but one-way, inefficient, even stressful, and harmful. The scientific contribution of this paper is to determine the reasons for unclear, one-way, or even harmful communication in the company between employees and their superiors, from the point of view of employees and find out and define possible ways to improve the communication process of employees with their managers. There is no statistically significant difference between the sexes of the respondents with the respondents’ attitudes about the importance of communication in their workplaces. A high percentage of respondents stated that communication in their workplaces is essential. The success of managers’ communication with employees is not related to a higher executive education level. As the leading reason for unsuccessful communication of managers with employees, respondents state the lack of time of managers. They also state that the first way to improve the communication process is for managers to find time to communicate more often with employees, individually, and more often by organizing meetings with employees and asking employees how they feel.
Conference Paper
Full-text available
With the growing consumer awareness of healthy dieting, the interest of consumers for concrete information regarding it is also growing. Therefore, consumers are getting involved in various virtual communities (VC) on social networks through which they receive information from other consumers, share experiences and give recommendations for certain products. This leads to the electronic word of mouth (eWOM), which is influencing consumer attitudes and beliefs. In this regard, this paper aims to explore how VC Low carb high fat (LCHF) and Paleo diets, passed down through eWOM, influence consumer attitudes about dieting and the perception of products they consider healthy. The empirical research was conducted through an online survey questionnaire in VC on Facebook on a random sample of 137 respondents. The results of the study were obtained by a descriptive statistical analysis and indicate that practitioners of VC LCHF and Paleo diet have attitudes consistent with the views of the community, i.e. they adopt attitudes that the community promotes and influence each other by encouraging healthy food purchases through eWOM. The limitation of the study mainly regards the small sample size and possible other factors that influence the attitudes of VC members. Future studies should include a larger number of claims in the verification of respondents' attitudes and, for example, compare them with the attitudes of non-VC respondents. The findings of the study could provide marketers with a better understanding of consumer behavior in VC and provide guidelines for creating an effective marketing mix in the context of healthy dieting
Conference Paper
Full-text available
Successful management of personal finances requires developing financial literacy of young generations from an early age in order to increase their financial literacy and ensure the achievement of financial competencies. Significant efforts have been made through the education system in the last five years to raise the level of financial literacy in Croatia. Responsibility for the financial education of young people is placed mostly on the regular and formal education system, while parental education is to some extent neglected. Parental conversation, setting an example, rewarding or punishing children are just some of the educational factors. This paper investigates the financial literacy of high school students as well as the impact of parental involvement on their financial competencies. The aim of this paper is to examine whether family factors, such as parents' conversations with children, their personal examples and financial behaviour influence the child's financial literacy and which components of financial literacy are affected the most. In the empirical part of the paper, the survey method is used, while statistical methods are used to process the research results, from which we single out Spearman's rank correlation coefficient and two- sample t-test with (approximately) equal variances. This methodology determined the positive influence of parents as educational factors on the financial literacy of high school students in the observed research sample, especially on the component of financial behaviour. We can conclude that it is desirable for parents to discuss financial topics. In addition to the conversation, it is necessary that they show their responsible financial behaviour to the child by their own example. For example, it is desirable to involve the child in financial decisions, show him the bills, not fulfill every whim of the child and reward him financially when he deserves it.
Article
Full-text available
For two decades, researchers have investigated the correlates and consequences of individual differences in maximizing , the tendency to pursue the goal of making the best possible choice by extensively seeking out and comparing alternatives. In this time, many different conceptualizations of maximizing have been proposed, including several that incorporate a construct called “decision difficulty.” We propose that including decision difficulty in measures of maximizing is problematic because the tendency to experience difficulty when making decisions is a separate individual difference construct already studied independently of maximizing — namely, indecisiveness . Across two studies (total N = 639), we find that scales measuring decision difficulty and indecisiveness are strongly correlated ( r ’s ≥ .85), load on the same component in a principal component analysis, and show a very similar pattern of correlations with related variables. Moreover, decision difficulty and indecisiveness scales both show a divergent pattern of correlations when compared to measures of maximizing. We argue that decision difficulty scales are best interpreted as tapping the same underlying tendency as indecisiveness scales, and conclude that the tendency to experience difficulty in decision making is best conceptualized not as a component of maximizing, but rather a cause or consequence of it.
Conference Paper
Full-text available
Internet marketing in a modern marketing concept and new electronic environment is defined as the use of the Internet and other digital technologies to achieve marketing goals. A relationship with customers is built and maintained, through the presence and activities on the Internet, and internet marketing techniques and tools are an effective means of promotion in the business market of the wood processing industry. The growth in the number of users of the Internet and other digital technologies is also reflected in the growth in the number of users in the segment of the wood processing industry market, but also in other market segments. Business activities of business entities are informatively available to users and potential customers through corporate profiles on social networks such as Instagram, Facebook and others. This paper analyses the application of internet marketing in the market segment of the wood processing industry. The research was conducted in 2020 on business entities engaged in wood processing and furniture production in the Republic of Croatia. The set research hypotheses analyse an efficient and effective means of promoting business entities, products and services, and the primary starting point of access points for the availability of information on business entities, products and services. Research results showed a growing trend in the number of Internet users. Respondents often use the Internet in business activities, have created corporate email that they often use for business purposes, access to the Internet is most often achieved by mobile device and desktop computer, and are informed online about products and services of business entities with which they cooperate or will cooperate mostly through content posted on the business website. Detailed research results are presented in the paper.
Chapter
Full-text available
How did a health crisis translate to an economic crisis? Why did the spread of the coronavirus bring the global economy to its knees? The answer lies in two methods by which coronavirus stifled economic activities. First, the spread of the virus encouraged social distancing which led to the shutdown of financial markets, corporate offices, businesses and events. Second, the exponential rate at which the virus was spreading, and the heightened uncertainty about how bad the situation could get, led to flight to safety in consumption and investment among consumers, investors and international trade partners. We focus on the period from the start of 2020 through March when the coronavirus began spreading into other countries and markets. We draw on real-world observations in assessing the restrictive measures, monetary policy measures, fiscal policy measures and the public health measures that were adopted during the period. We empirically examine the impact of social distancing policies on economic activities and stock market indices. We also empirically the effect of COVID infection cases and COVID deaths on macroeconomic performance during the 2020 to 2021 period. The findings reveal that the increasing number of lockdown days, monetary policy decisions and international travel restrictions severely affected the level of economic activities and the closing, opening, lowest and highest stock price of major stock market indices. We also find that the rising number of COVID cases and rising death cases led to a significant increase in global inflation rate, global unemployment rate, and global energy commodity index.
Article
Full-text available
COVID-19 outbreak has created havoc around the world and has brought life to a disturbing halt claiming thousands of lives worldwide and infected cases rising every day. With technological advancements in Artificial Intelligence (AI), AI-based platforms can be used to deal with COVID-19 pandemic and accelerate the processes ranging from crowd surveillance to medical diagnosis. This paper renders a response to battle the virus through various AI techniques by making use of its subsets such as Machine Learning (ML), Deep learning (DL) and Natural Language Processing (NLP). A survey of promising AI methods which could be used in various applications to facilitate the processes in this pandemic along potential of AI and challenges imposed are discussed thoroughly. This paper relies on the findings of the most recent research publications and journals on COVID-19 and suggests numerous relevant strategies. A case study on the impact of COVID-19 in various economic sectors is also discussed. The potential research challenges and future directions are also presented in the paper.
Article
This conceptual paper aims to conceptualise the impact of the risk perception on travel intention during the COVID-19 pandemic. Based on a systematic review of the relevant literature, the current study proposes a new conceptual model that incorporates the theory of planned behaviour with the multidimensional risk perception model to understand the behavioural intention of domestic travellers during the COVID-19 pandemic. The validity of the newly proposed conceptual model could be tested by using the empirical data in the future study.
Article
The paper explored the interaction of monetary and fiscal policy through game theory. In the first part of the paper it isin short presented theoretical basis of fiscal and monetary policy, and then explained the theoretical part of game theory also in short. After theoretical part, the analysis was conducted based on the collected data and then the results of the paper are presented. A function of payments for monetary and fiscal policy have been created on the basis of data inflation, unemployment rate, total liquidity and the rate of government spending in the Republic of Croatia. Multiple linear regression, which is processed using software solutions Eviews, derived parameters for independent variables. In this way, holders of monetary and fiscal policy can decide on quantities of independent variables, and based on that, determine their strategy. The obtained result, based on the functions of payments for monetary and fiscal policy, generated the matrix of payments. Solving the matrix of payments resulted with non-dominated solutions. For solving the problem, PROMETHEE method has been applied. Analysing the game by using the PROMETHEE method, it generated optimal solutions in terms of assumption when a greater impact on the economy, in this case on the inflation and unemployment, has the fiscal policy and in terms of assumption when a greater impact on the economy has monetary policy. As the optimal results we obtained only two strategies although the game has been repeated in many stages.
Article
Tourism is one of the largest and continuously booming economic sectors globally that significantly contributes primarily to GDP, employment, and prosperity. The efficiency of this sector is, therefore, closely researched and investigated by scholars across the globe. Data Envelopment Analysis (DEA henceforward) is one of the leading non-parametric methodologies that evaluates the performance and relative efficiency of complex and homogeneous entities called Decision-Making Units (DMUs). The main aim of this study is to explore, identify and present different applications of DEA in Croatian tourism, which is one of the sectors that contributes the most to the economy. Other goals are to present ten surveyed papers that employ the DEA methodology. To identify the surveyed studies, an extensive literature review has been conducted, and the Scopus, Web of Science, and CROSBI (Croatian Scientific Bibliography) databases have been browsed, with the keywords "DATA ENVELOPMENT ANALYSIS", "TOURISM "and "CROATIA ". Furthermore, the study of Neralić and Gardijan Kedžo (2019) has been used as a foundation of the literature review. The key findings indicate that most of these ten surveyed papers employ the DEA BCC output-oriented model, and most of the analyzed time frame is from 2011 onwards.
Article
Evolutionary Computation (EC) approaches are inspired by nature and solve optimization problems in a stochastic manner. They can offer a reliable and effective approach to address complex problems in real-world applications. EC algorithms have recently been used to improve the performance of Machine Learning (ML) models and the quality of their results. Evolutionary approaches can be used in all three parts of ML: preprocessing (e.g., feature selection and resampling), learning (e.g., parameter setting, membership functions, and neural network topology), and postprocessing (e.g., rule optimization, decision tree/support vectors pruning, and ensemble learning). This article investigates the role of EC algorithms in solving different ML challenges. We do not provide a comprehensive review of evolutionary ML approaches here; instead, we discuss how EC algorithms can contribute to ML by addressing conventional challenges of the artificial intelligence and ML communities. We look at the contributions of EC to ML in nine sub-fields: feature selection, resampling, classifiers, neural networks, reinforcement learning, clustering, association rule mining, and ensemble methods. For each category, we discuss evolutionary machine learning in terms of three aspects: problem formulation, search mechanisms, and fitness value computation. We also consider open issues and challenges that should be addressed in future work.
Article
The COVID-19 pandemic caused by the SARS-CoV-2 virus has spread rapidly worldwide, leading to a global outbreak. Most governments, enterprises, and scientific research institutions are participating in the COVID-19 struggle to curb the spread of the pandemic. As a powerful tool against COVID-19, artificial intelligence (AI) technologies are widely used in combating this pandemic. In this survey, we investigate the main scope and contributions of AI in combating COVID-19 from the aspects of disease detection and diagnosis, virology and pathogenesis, drug and vaccine development, and epidemic and transmission prediction. In addition, we summarize the available data and resources that can be used for AI-based COVID-19 research. Finally, the main challenges and potential directions of AI in fighting against COVID-19 are discussed. Currently, AI mainly focuses on medical image inspection, genomics, drug development, and transmission prediction, and thus AI still has great potential in this field. This survey presents medical and AI researchers with a comprehensive view of the existing and potential applications of AI technology in combating COVID-19 with the goal of inspiring researchers to continue to maximize the advantages of AI and big data to fight COVID-19.