Analysis of information published in the media is an important tool. Information that is collected and properly aggregated contributes to the assessment of companies’ projects and allows to observe and to evaluate changes occurring in the environment. This article discusses benefits that companies can achieve through professional media monitoring and its products using a practical example. The article presents the company’s media findings scope for 2017-2018 and conclusions that can be drawn in the context of recommendations for long-term decisions.
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IFERA (2003) Family businesses dominate. Family Business Review 16(4): 235–240.
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Martin Húdik, Gabriel Koman, Jorma Jaakko Imppola and Josef Vodák
The article discusses the use of Internet of Things (hereinafter as IoT) solutions in the social and business environment to support managerial decision-making in Smart businesses. The paper key objective is to assess the rate of increasing technological advancement of the IoT which already affects us all, so it is not possible to talk about the IoT as a matter of the future. Currently, modern technologies provide specific level of digitization of business processes. Due to the penetration of information and communication technologies (hereinafter as ICT) in all areas of social life and business processes, it is possible to implement decisions on product production based on customer needs and requirements. This trend is mainly due to technological advances in ICT and the Internet. Thanks to the internet and the phenomenon called Internet of Things, it is possible to achieve higher profits and improve the quality of life in society. The manuscript main findings can be summarized through a statement that all the businesses try to implement the concept of IoT in their processes, and thus they become smart businesses. Thanks to IoT, businesses can quickly process data and distribute the results to responsible people for decision-making in the enterprise.
Gulser Meric, Berrin Guner, Shifei Chung and Ilhan Meric
Comparing the management characteristics of business firms in different countries has been a popular research topic in business administration. In this paper, we compare the management characteristics of U.S., German, and Japanese manufacturing corporations. The findings of our study can provide valuable insights for corporate managers and global investors. We find that U.S. manufacturing corporations have the lowest liquidity risk (i.e., U.S. manufacturing firms have higher liquidity levels) compared with German and Japanese manufacturing corporations. German manufacturing corporations have the highest bankruptcy risk (i.e., German manufacturing firms have higher liability levels) compared with U.S. and Japanese manufacturing corporations. The average collection period of accounts receivable and the average payment period of accounts payable are significantly shorter in U.S. manufacturing corporations compared with their German and Japanese counterparts. Due to the extensive use of the just-in-time inventory management system in Japanese Keiretsu industry groupings, Japanese manufacturing corporations have higher inventory turnover rates (i.e., Japanese manufacturing corporations carry lower inventory levels) compared with U.S. and German manufacturing corporations. U.S. manufacturing corporations are able to earn higher operating profit margins compared with their German and Japanese counterparts because they are able to charge higher product prices to customers and/or they are able to have lower manufacturing costs. Japanese manufacturing corporations have the lowest annual sales and total assets growth rates compared with U.S. and German manufacturing corporations.
Over the last few decades Big Data has impetuously penetrated almost every domain of human interest/action and it has (more or less consciously) become a ubiquitous presence of day to day life. The main questions this exploratory paper seeks to address (throughout its two parts) are the following: What is the (actual) impact of Big Data on Business & Management and How can businesses (through their management) leverage the potential of Big Data to their benefit? This second part of the paper is dedicated to the investigation of the demand-side of the big data industry – by highlighting some evidences (and projections) on the impact of big data analytics on Business & Management (both at aggregate and granular level) and exploring what companies could and should do (through their management) in order to best capitalize on the opportunities of big data and avoid/minimize the impact of its threats.
Family entrepreneurship aiming at multi-generation, in which there is no clear distinction between the family and the business, and family members exert a significant influence on or directly manage a family business, is managed by means of norms and values, passed from generation to generation. Therefore, it is important, in the present unclear market conditions, to present the research results concerning norms and values in family business management from the point of view of the students of the Faculty of Management of Czestochowa University of Technology.
Over the last few decades Big Data has impetuously penetrated almost every domain of human interest/action and it has (more or less consciously) become a ubiquitous presence of day to day life. The main questions this exploratory paper seeks to address (throughout its two parts) are the following: What is the (actual) impact of Big Data on Business & Management and How can businesses (through their management) leverage the potential of Big Data to their benefit? A gradual, step by step approach (based on literature review and a variety of secondary data) will guide the paper in search for answers to the abovementioned questions: starting with a concise history of the topic Big Data as reflected in academia and a critical content analysis of the Big Data concept, the paper will then continue by emphasizing some of the most significant realities and trends that characterize the supply-side of the big data industry; the second part of the paper is dedicated to the investigation of the demand-side of the big data industry – by highlighting some evidences (and projections) on the impact of big data analytics on Business & Management (both at aggregate and granular level) and exploring what companies could and should do (through their management) in order to best capitalize on the opportunities of big data and avoid/minimize the impact of its threats.
Objective: General concept of neo-institutional measurements of business processes is an approach developed by the author, which fits in with the practical search for appropriate methods and tools that would optimize effectiveness and efficiency of business process management. The objective of the following discussion is to prove the thesis that effectiveness of business processes that take place within a company depends on the quality of support of such processes that is included in the set of supporting factors, as well as on neo-institutional determinants of business processes.
Methodology: In the article, the author used primarily long-term observations of the functioning of enterprises, critical literature analysis and thought experiment.
Findings: The concept was based on long-term of author’s experience in business management and it was essentially grounded in the model of the new institutional economics. On the basis of critical analysis of the literature and with the use of empirical research results from different industries and countries, it defines four hypotheses, which make ground for the concept in question. These are: hypothesis of rational change of condition, hypothesis of expected determinants of business processes, hypothesis of rational determinants of business processes and intensity of impact hypothesis.
Value Added: The concept presents a new holistic and behavioral method for business processes analysis.
Recommendations: The general concept of neo-institutional measurements of business processes may become a new economic approach concerning the issues of effectiveness and efficiency of business processes, but also it may become the ground for creation of a new catalogue of recommendations for managers, who, on a daily basis, make difficult managerial decisions.
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