Warsaw School of Economics, Institute of Management, 162 Niepodległości, 02-554 Warsaw, Poland
Katarzyna Dębkowska
Bialystok University of Technology, Faculty of Management, 2 Tarasiuka, 16-001 Kleosin, Poland
Abstract
Background/Purpose: The article is aimed at conducting an empirical analysis of the value and significance of coopetitors’ attributes thanks to which coopetition, which is a combination of cooperation and competition between competitors, generates a substantial corporate profit. Four major competitors’ attributes have been analysed: its size, geographical scope, market and technological position. The research also includes the Porter’s value chain. Design/ Methodology/Approach: The survey has been conducted on a sample of 235 high- tech companies operating in Poland and involved in coopetition. The sample is representative. The data have been collected at interviews with company top executives or owners. The research applies the method of classification trees, which, thanks to diagrams, sequentially divides the examined data space into classes (spaces) of similar properties. The assessment of the effect of coopetition, including its variants, made by the examined company served as a dependent qualitative variable. Four coopetitor’s attributes and their variants were assumed as explanatory variables (predictors) affecting the assessment of cooperation. Results: The results of research indicated the necessity for an accurate competitor’s profile selection. The significance of each of the four attributes may be different depending on the undertaken areas of cooperation with a competitor. The value of all the attributes of competitors is also diverse depending on the area of cooperation. A selected competitor’s profile with regard to the four analysed attributes may become a stimulant to generate benefits in one area, while in another area it may become an inhibitor. Conclusions: So far, the selection of a coopetition partner has been treated universally, without scrutinizing on some specific needs in relation to the area of cooperation. The selection of an appropriate coopetitor’s profile will allow for the cost reduction in search of appropriate candidates for cooperation and in relations management.
University of Primorska, Faculty of Management, Cankarjeva 5, SI-6000 Koper, Slovenia
Abstract
Background/Purpose: The purpose of the research is to investigate impact of population ageing on unemployment and entrepreneurial activity in Slovenia since it is one of the topical issues in an ageing Europe and has many implications for economic and non-economic welfare. Design and Methodology: First, we introduce the phenomenon of population ageing and provide some literature review on population ageing impact on unemployment and entrepreneurial activity. Second, we employ multiple regression analysis on cross-section data for Slovenian municipalities. We use secondary data collected from databases of Statistical Office of Republic of Slovenia and Employment Service of Slovenia on demographic and economic variables by 210 municipalities for the year 2009. Results: The regression analysis results confirm our first hypothesis. Municipalities with higher ageing index and higher average age also have higher registered unemployment rate. If ageing index (average age) is higher by 1 %, the registered unemployment rate is higher on average by 0.532 % to 0.670 % (by 2.431 % to 3.379 %), ceteris paribus. Our regression analysis also confirms our second hypothesis. Municipalities with higher average age also have lower number of enterprises per 100 population. If average age is higher by 1% (by 1 year), the number of enterprises per 100 population is lower on average by 1.7 % (by 0.182 enterprises), ceteris paribus. Conclusion: We may conclude that population ageing without properly addressing it, consequently leads into lower economic welfare. That additionally highlights the importance of a proper demographic and social policy when governing labour market policy.
The Impact of Demographic Changes on the Organization of Emergency Medical Services – The Case of Slovenia
Tatjana Kitić Jaklić
General Medical Practice Activities of the Gorenjska Region, Kranj Community Health Centre, Gosposvetska ulica 10, 4000 Kranj, Slovenia
Jure Kovač
University of Maribor, Faculty of Organizational Sciences, Kidričeva cesta 55a, 4000 Kranj, Slovenia
Abstract
Background/Purpose: The modern environment requires that organizations (profit and non-profit) continually harmonize their organizational models with changes in their respective environments and with their own visions and strategies for further development. The organizational structure of Emergency Medical Services (hereinafter EMS) is currently a very topical issue in Slovenia, given that a project to establish a new organization of EMS is currently underway at the national level. By examining the case of one region in Slovenia, this article presents an analysis of factors that impact on the number and types of EMS activities and depicts a forecast of future trends for the requirement of EMS. The analysis presents the initial phase of a strategic planning process for the mentioned activity and consequently, a starting point for the formation of an organizational EMS model. Methodology: This article presents an analysis of factors that impact on the formulation of an EMS model on the basis of research carried out for one geographical region of Slovenia. For the previous period, data was collected from 2002 to 2014. The software tool used for the analysis was STATA 13.0. For the purpose of forecasting a five-year period trend we used statistical package RStudio and Hyndman´s Forecast package given that this package contains algorithms for forecasting univariate time series including exponential smoothing using automated spatial models and ARIMA modelling. Results: The research has confirmed a correlation between social/environmental factors and the rate of increase in the demand for EMS. A population´s age structure has been identified as the key social factor that increases the need for EMS. On the basis of this finding, this article presents a model for forecasting growth trends in the scope of EMS activities. Conclusion: The research study has identified some important elements that are imperative to take into consideration when formulating an EMS network at the prehospital level. Population ageing has emerged as a key social factor. In the accordance with forecasted trends, an increase in the burden placed on EMS activities may also be anticipated in the future.
Social CRM adoption and its impact on performance outcomes: a literature review
Marjeta Marolt
University of Maribor, Faculty of Organizational Sciences, Kidričeva cesta 55a, 4000 Kranj, Slovenia
Andreja Pucihar
University of Maribor, Faculty of Organizational Sciences, Kidričeva cesta 55a, 4000 Kranj, Slovenia
Hans-Dieter Zimmermann
FHS St. Gallen, University of Applied Sciences, St. Gallen, Switzerland
Abstract
Background/Purpose: Social customer relationship management (social CRM) is an emerging concept that integrates traditional CRM and social media in order to provide benefits for organizations and customers. Despite the benefits that social CRM can bring, many organizations are still at the early stage of adoption. To move beyond social marketing and to exploit opportunities offered by sales and customer service, organizations need to be aware of factors that drive social CRM adoption and different implications of social CRM adoption for performance outcomes. This paper aims to provide a review of scholarly literature on social CRM adoption with the focus on factors and performance outcomes. Design/Methodology/Approach: To provide a comprehensive view of social CRM adoption and its impact on performance outcomes, the publications of interest include scholarly journal papers from information systems and marketing disciplines and conference proceedings. Selected publications were reviewed, and findings classified into three categories: the extent of social CRM adoption, the factors influencing CRM adoption, and the impact of social CRM on performance outcomes. Results: It appears that several issues regarding social CRM adoption and its implications for performance outcomes as well as the actual use of social media in the context of CRM need additional empirical support. Conclusion: Our observations have confirmed that many researchers proposed social CRM models based on existing theories and concepts of traditional CRM. Nevertheless, some specifics of social media implications on CRM have been overlooked. The researchers therefore suggest further adjustment/extension of their models.
Predictors of Users’ Satisfaction with E-payment System: A Case Study of Staff at the University of Ilorin, Nigeria
Adeyinka Tella
University of Ilorin, Department of Library and Information Science, Nigeria
Isah Abdulmumin
University of Ilorin, Department of Library and Information Science, Nigeria
Abstract
Background/Purpose: Many organisations are using the e-payment system; however, its effectiveness has not been determined particularly in the Nigeria context. The University of Ilorin as educational organisation started using e-payment system in 2010 and up till now there has been limited or no study conducted to examine whether or not workers are satisfied with the new payment system together with other related ones they are familiar with. It is in the light of this that this study examined users’ satisfaction with the e-payment system at the University of Ilorin, Nigeria. Design/Methodology/Approach: A sample of 260 academic and non-academic staff was taken from six out 12 faculties that made up the university. Using a survey research approach data was collected with a modified questionnaire. Five research questions were developed to guide the study. Results: The results revealed that, respondents (93.5%) were adequately satisfied, satisfied and moderately satisfied, while, only (6.5%) of the respondents were less satisfied and dissatisfied. Perceived speed was identified as the characteristics users mostly satisfied with, followed by system security, traceability, and convenience. Moreover, there is significant correlation among the entire e-payment characteristics/factors (perceived speed, security, anonymity, traceability, perceived ease of payment, and convenience); and that all the six factors jointly predict users’ satisfaction with the e-payment system. In order of magnitude of the prediction/contribution to e-payment, users’ satisfaction, perceived speed made the most significant prediction/contribution. Conclusion: Based on the findings, the study concluded a considerable percentage of the respondents (93.5%) are satisfied with the e-payment system at the University of Ilorin, Nigeria. In lieu of this therefore, there is need to improve the e-payment system so that all and sundry could be satisfied.
University of Maribor, Faculty of Health Sciences, Žitna 15, 2000 Maribor, Slovenia
Majda Pajnkihar
University of Maribor, Faculty of Health Sciences, Žitna 15, 2000 Maribor, Slovenia
Mojca Bernik
University of Maribor, Faculty of Organizational Sciences, Kidričeva cesta 55a, 4000 Kranj, Slovenia
Abstract
Background/Purpose: In Slovenia, the higher education institution for nursing started exploring employability opportunities in nursing care in connection with the achievement of competencies from students’ and employers’ point of view. This article highlights the importance of monitoring nursing graduates’ employability. Its aim is to examine the employability of nursing care graduates based on the self-evaluation of competences obtained during the last study year and to establish a link between the self-evaluation of competences and students’ academic performance. Methodology: A questionnaire was distributed to full and part time nursing care students attending the last study year at five different healthcare/health sciences faculties in Slovenia and to employers (healthcare institutions) where the majority of nursing care graduates finds employment. We examined the level of competence achieved by nursing students and the level of competences required by employers. The sample included a total of 485 students. 194 surveys were returned, which represent a 40 percent response. We used Kolmogorov-Smirnov test for each individual joined competence. Further, we compared employability skills of students and employers with Mann-Whitney and Wilcox rank-sum test. For correlation between two variables we used Spearman correlation analysis. Results: The Mann-Whitney and Wilkson Rank test show that employers generally assess competences with a higher average grade in comparison to students and these differences are statistically significant. By applying the Spearman correlation analysis, we established that a statistically significant weak correlation may be observed between the “average grade” and “competences” variables. Discussion and conclusion: Our findings show that a continuous monitoring of general and subject-specific competences gained by students, along with a periodic verification of competences demanded by employers, is necessary. It is very important to monitor the requirements of the labour market in terms of ongoing communication with employers who can best estimate special knowledge needs.
Fakhrul Zaman Abdullah, Fahad Bin Sultan University, College of Business and Management, Tabuk, Saudi Arabia
Khalid Aboura, University of Dammam, College of Business Administration, Damman, Saudi Arabia
Andrew A. Adams, Meiji University, Graduate School of Business Administration, Tokyo, Japan
Klara Antlova, Technical University of Liberec, Faculty of Economics, Liberec, Czech Republic
Łukasz Arendt, University of Lodz, Faculty of Economics and Sociology, Lodz, Poland
Alireza Aslani, University of Tehran, Faculty of New Sciences and Technology, Tehran, Iran
Emira Bečić, Ministry of Science, Education and Sports, Zagreb, Croatia
Mojca Bernik, University of Maribor, Faculty of Organizational Sciences, Kranj, Slovenia
Mahdi Bohlouli, University of Siegen, Faculty of Natural Sciences and Engineering, Siegen, Germany
Lucie Böhmová, University of Economics, Prague, Faculty of Informatics and Statistics, Prague, Czech Republic
Vesna Bosilj Vukšić, University of Zagreb, Faculty of Economics and Business, Zagreb, Croatia
Zita Bošnjak, University of Novi Sad, Faculty of Economics in Subotica, Serbia
Javier F. Boyas, The University of Mississippi, School of Applied Sciences, University, MS 38677, USA
Brendan Burchell, University of Cambridge, Department of Sociology, Cambridge, UK
Bernard Casey, University of Warwick, Institute for Employment Research and London School of Economics, UK
Katarzyna Cheba, Westpomeranian University of Technology, Szczecin, Poland
Jan Čapek, Masaryk University, Faculty of Economics and Administration, Brno, Czech Republic
Mladen Čudanov, University of Belgrade, Faculty of Organizational Sciences, Beograd, Serbia
José María Fernández-Crehuet, Technical University of Madrid, Department of Organization, Engineering, Business Administration and Statistics, Madrid, Spain
Lidia Galabova, Technical University Sofia, Department of Economics, Industrial Engineering and Management, Sofia, Bulgaria
Bartłomiej Gawin, University of Gdansk, Department of Business Informatics, Sopot, Poland
Boštjan Gomišček, University of Maribor, Faculty of Organizational Sciences, Kranj, Slovenia
Edward Granter, University of Manchester, Manchester Business School, Manchester, UK
Vladimiras Gražulis, Mykolas Romeris University, Faculty of Politics and Management, Vilnius, Lithuania
Marta Gross, University of Warmia and Mazury, Faculty of Geodesy, Geospatial and Civil Engineering, Olsztyn, Poland
Jonas Hedman, Copenhagen Business School, Department of IT Management, Copenhagen, Denmark
Miroljub Ignjatović, University of Ljubljana, Faculty of Social Sciences, Ljubljana, Slovenia
Dejan Ilić, Faculty of Strategic and Operational Management, Belgrade, Serbia
Mojca Indihar Štemberger, University of Ljubljana, Faculty of Economics, Ljubljana, Slovenia
Eva Jereb, University of Maribor, Faculty of Organizational Sciences, Kranj, Slovenia
Mojca Juriševič, University of Ljubljana, Faculty of Education, Ljubljana, Slovenia
Marija Kaštelan Mrak, University of Rijeka, Faculty of Economics, Rijeka, Croatia
Richard Kemp, Kemp IT Law, London, UK
Miroljub Kljajić, University of Maribor, Faculty of Organizational Sciences, Kranj, Slovenia
Jure Kovač, University of Maribor, Faculty of Organizational Sciences, Kranj, Slovenia
Tatjana Kovač, Faculty of Commercial and Business Sciences, Celje, Slovenia
Tatjana Kozjek, University of Ljubljana, Faculty of Administration, Ljubljana, Slovenia
Konrad Kułakowski, AGH University of Science and Technology, Department of Applied Computer Science, Krakow, Poland
Aleksandra Labus, University of Belgrade, Faculty of Organizational Sciences, Beograd, Serbia
Violet Lazarevic, Monash University, Monash Business School, Melbourne, Australia
Gregor Lenart, University of Maribor, Faculty of Organizational Sciences, Kranj, Slovenia
Liudmila Lobanova, Vilnius Gediminas Technical University, Department of International Economics and Management, Vilnius, Lithuania
Matjaž Maletič, University of Maribor, Faculty of Organizational Sciences, Kranj, Slovenia
Damjan Maletič, University of Maribor, Faculty of Organizational Sciences, Kranj, Slovenia
Miha Marič, University of Maribor, Faculty of Organizational Sciences, Kranj, Slovenia
Janko Marovt, University of Maribor, Faculty of Economics and Commerce, Maribor, Slovenia
Miloš Maryška, Prague University of Economic, Department of Information Technologies, Prague, Czech Republic
Renata Mekovec, University of Zagreb, Faculty of Organization and Informatics, Varaždin, Croatia
Bożena Mielczarek, Wrocław University of Technology, Institute of Organization and Management, Wroclaw, Poland
Katja Mihelič, University of Ljubljana, Faculty of Economics, Ljubljana, Slovenia
Veselina Milanova, University of St. Gallen, Institute of Insurance Economics, St. Gallen, Switzerland
Monika Mynarska, Cardinal Stefan Wyszynski University, Warsaw, Poland
Valentinas Navickas, Kaunas University of Technology, Faculty of Economics and Management, Kaunas, Lithuania
Juraj Nemec, Masaryk University, Faculty of Economics and Administration, Brno, Czech Republic
Marian Niedźwiedziński, University of Lodz, Faculty of Economics and Sociology, Lodz, Poland
Aleš Novak, University of Maribor, Faculty of Organizational Sciences, Kranj, Slovenia
Vesna Novak, University of Maribor, Faculty of Organizational Sciences, Kranj, Slovenia
Chidiebere Ogbonnaya, University of East Anglia, Faculty of Social Sciences, Norwich, UK
