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Article

Application of Cluster Analysis in Marketing Communications in Small and Medium-Sized Enterprises: An Empirical Study in the Slovak Republic

by
Lenka Ližbetinová
1,*,
Peter Štarchoň
2,
Silvia Lorincová
3,
Dagmar Weberová
2 and
Petr Průša
4
1
Faculty of Corporate Strategy, The Institute of Technology and Business in Ceske Budejovice, 370 01 Ceske Budejovice, Czech Republic
2
Faculty of Multimedia Communications, Tomas Bata University in Zlín, 760 01 Zlín, Czech Republic
3
Faculty of Wood Sciences and Technology, Technical University in Zvolen, 960 01 Zvolen, Slovakia
4
Jan Perner Transport Faculty, University of Pardubice, 532 10 Pardubice, Czech Republic
*
Author to whom correspondence should be addressed.
Sustainability 2019, 11(8), 2302; https://doi.org/10.3390/su11082302
Submission received: 22 March 2019 / Revised: 10 April 2019 / Accepted: 15 April 2019 / Published: 17 April 2019
(This article belongs to the Section Economic and Business Aspects of Sustainability)
Browse Figure
Versions Notes

Abstract

:
Creating an effective marketing strategy according to current trends is a key process needed to achieve sustainable growth that can result in attracting a great number of existing as well as potential customers. Moreover, an enterprise’s success is affected by the aforementioned process. The aim of the paper is to determine the clusters of small and medium-sized enterprises operating in the Slovak Republic and the use of marketing communication tools in the future. The research into marketing communications and customer relationship management (CRM) building in companies was carried out in Slovakia in the years 2017 and 2018. In total, 1,009 small and medium-sized enterprises from Slovakia participated in the research. Following a K-means clustering algorithm, three clusters were determined. Descriptive statistics, cluster analysis using K-means clustering, and an analysis of variance (ANOVA) were used to identify no statistically significant difference in terms of the size of enterprises.

1. Introduction and Background

Small and medium-sized enterprises (SMEs) are considered the key economic drivers in Europe [1]. Significant contribution to gross domestic product, increasing innovative activities, launching a new product in a flexible way, creating jobs, retaining existing jobs and generating overall social growth can be observed [2,3,4,5,6,7,8,9,10]. In Slovakia, SMEs have a key role in boosting productivity. More than a half of the active labour force contributing to a large extent to the added value is hired by SMEs [11]. SMEs make up 99.9% of the total number of enterprises in Slovakia; 96.9% of them are micro-enterprises (with less than 10 employees), 2.5% are small enterprises and 0.5% are medium-sized enterprises. In the knowledge economy, innovation ability as well as the sustainability of business processes are key factors for enterprises thriving and withstanding the fierce market competition [12,13,14,15]. The business activities of SMEs are affected by the growing trend of globalization putting the pressure on businesses in order to develop effective strategies to succeed in a highly competitive environment [16,17,18,19]. In this context, the business strategies of modern enterprises are aimed at achieving sustainable processes [20,21].
Since the customer relationship management is based on the fact that customer is the main source of enterprise revenue, finding customers, attracting them, meeting their needs, wishes and interests are the keys to sustainable growth and subsequent success [22,23,24,25,26,27,28,29,30,31,32]. Marketing communications are becoming an important part of strategic business management in achieving sustainable development [33,34,35,36]. On one hand, it is used to inform employees about performances, to explain the properties, highlight the benefits, quality, value, the use. On the other hand, it provides ability to listen, propose consumers’ motions and demands, and deal with them appropriately [37,38].
The traditional mix of marketing communications consisting of advertising, public relations, sales promotion and personal sales is most often used for communication with the customer during the pre-buy, purchase and after-purchase period [39,40,41,42]. Advertisements are the most commonly used and most popular marketing communication tools delivering important messages to a large group of consumers faster than any other form of marketing communications [43,44,45]. While launching a product or promoting products with low consumer interest or almost no interest due to the lack of information or low awareness, using public relations has proven to be useful [46,47]. The marketing communication tool is used in particular because of its huge impact on public opinion. Much lower costs in comparison to standard advertising can be considered a further reason [48]. The number of customers can be increased as well as the particular service being supported by sales promotion. The aim of impersonal communication is to encourage the customer to try to use a particular product or service with temporary benefits or rewards [49]. When the advertising seems to be ineffective, personal sales are used as a more demanding form of promotion by providing information, showing, building long-term relationships, or by persuading certain members of the public [50,51].
New technology developments result in the use new, modern tools of marketing communications [52,53,54,55]. Computers, the Internet, mobile phones, radio, television and various types of game consoles are used as communication channels to promote products in the area of digital marketing [56,57,58]. The growing importance of mobile marketing is caused by mobile phone penetration. Any marketing activity can be carried out by customers by means of their personal mobile devices [59,60]. Marketing activities are performed through wireless mobile technology using services such as Short Message Service (SMS), Multimedia Messaging Service (MMS), Wireless Application Protocol (WAP), and third-generation network capabilities [61,62]. Maximum publicity with minimal costs can be achieved through guerrilla marketing highlighting the sensation (unique, original idea proving courage, joke and innovative thinking) not bothering the target customers and, moreover, not harming the public [63,64,65]. Ambient, i.e., non-standard, alternative media, particularly outdoor media including public transport, benches, bus stops, litter bins, public lighting pillars, public space, shop or restaurant interiors, are used to attract attention of customers [66,67]. Viral marketing when customers provide information about the product, service or website has become very popular as well [67,68,69]. Event marketing is used in order to build relationships with suppliers, clients and own employees. Organizers of events (concerts and festivals) try to come up with new ideas, beat competitors and attract the customers [58,67]. Product placement, selling, sponsorship, exhibitions, corporate identity, packing, and point-of-sale merchandising are examples of advanced marketing communications [48,70,71].
New opportunities to provide information in a quickly accessible form have been available because of new technology development [72,73,74]. Consequently, consumers are more demanding, knowledgeable and well informed [75]. They can choose a product taking into account their requirements in terms of price, nutrition, function or value for money, etc. Emphasis is placed not only on the properties, price, quality and delivery conditions, but also on range of sales and after-sales services [76,77,78,79]. Increasing customer diversity results in a great variety of new communication tools being implemented [80,81,82,83,84]. Creating an effective marketing strategy according to current trends is a key process needed to achieve sustainable growth that can result in attracting a great number of existing as well as potential customers. Moreover, enterprise success is affected by the aforementioned process as well [85,86,87,88,89,90,91,92]. The introduction of the intelligent system known as Industry 4.0 requires enterprises to adapt to new market demands. Fundamental changes in technological developments are reflected in marketing promotion through a form of new communication and virtual channels. Sustainability of SMEs implies a greater use of progressive forms of marketing communications and especially e-marketing tools [93,94]. From this point of view, the attention of researchers in Slovakia is mainly focused on the use, conditions and research on the effectiveness of these electronic forms of marketing communication. Pollák and Dorčák [95] identified the basic prerequisites for the effective use of the Facebook social networking site as a platform for marketing communications for SMEs in Slovakia. Similarly, Hudák et al. [96] in their study tested the marketing elements of an email and provided recommendations for creating an effective marketing email. Several authors mention the results of research studies into specific elements of the Internet and mobile marketing communications [97,98,99]. In terms of research on applied marketing communications in Slovakia, the results are presented in specific areas such as tourism [100,101], environmental protection [102,103], higher education [104,105], the hotel industry, and others. In general, there is a lack of research focusing on SMEs in Slovakia.
The aim of the paper is to determine the clusters of SMEs operating in the Slovak Republic according to use of the marketing communication tools (current use and plans for future). Uniqueness of the research lies in enhancing the knowledge by looking not only at the current use of marketing communication tools in the environment of small and medium-sized enterprises in Slovakia, but also by viewing the future of the use of marketing communication tools. The classification into clusters brings a new dimension because clusters are created according to the current and planned future use of marketing communication tools. These clusters are then tested for differences in multiple attributes such as enterprise size, majority ownership, territorial scope of marketing activities, the use of an agency to implement marketing programs, the creation of customer database, and the use of a customer relationship management (CRM) system.

2. Materials and Methods

The research was focused on marketing communications and CRM building in companies in Slovakia. The research was carried out over the course of the years 2017 and 2018. Representatives of selected companies, responsible for the decision-making process in marketing management and marketing communications, participated in the research. When selecting the respondents, a proportional stratified sampling method was used (regarding the size, location, sector, legal form, major business owner). Business entities registered with the Infostat Company in the Slovak Republic in 2017 were considered the sampling unit. The questionnaire was sent to 1600 selected SMEs by an e-mail or by mail directly to the address of the headquarters or they were addressed personally. At the end of 2017, 257 questionnaires were accepted and 752 questionnaires from SMEs were collected at the beginning of the year 2018. The total number of SMEs filling the questionnaires correctly was 1009 (see Table 1). The sampling unit is presented in Table 1. The response rate was 63%.
The questionnaire consisted of 32 questions aimed at analysing the state-of-the-art of the use of marketing communication mix elements in the enterprises. Furthermore, attitudes towards applying new elements of marketing communications and new media as well as towards the current trends were determined following the questionnaire. Its aim was to identify possible changes in the use of particular elements of the marketing communication mix. Enquiries relating to the creation and use of databases, the implementation of CRM systems, the awareness of the concept of integrated marketing communications and its application in studied enterprises were those of great importance as well. For the purpose of this paper, data associated with the use of selected marketing communication tools such as television, radio, print media, point of sales, telephone, mobile, the Internet, cinema and other progressive forms were gathered.
Data were processed using basic descriptive statistics (absolute and relative frequency, arithmetic mean). Subsequently, the cluster analysis of the K-means cluster in SPSS statistics was used to identify clusters. Determining empirical types, segments, and biological clusters is based on identifying sub-clusters with similar vector variable profiles. The procedure follows the Euclidean distance matrices between rows [106]. The aim of the analysis—to iterate and classify—was selected in order to specify SME groups in the Slovak Republic according to the applied marketing communication tools (variables). Since this method is not invariant to the order of cases, four different clustering solutions (via randomly generated order of cases RU1, RU2, RU3 and RU4 using SPSS statistical program) have been tested in order to obtain appropriate results. Following number of resulting clusters—3, 4, 5, and 6 were also tested. Subsequently, the resulting alternative cluster results were evaluated in terms of composition and preferences in using the marketing communication tools. the option with four resulting clusters in the random arrangement of RU2 presented in Table 2 seems to be the best. A small group of nine cases (Cluster 3), completely different from the total set, are included in the resulting clusters. These cases of small groups are not included in the further analysis [106].
Differences in the profiles of created clusters are presented in Table 3. The distance between Cluster 2 and Clusters 3 and 4 is the greatest one. The minimum difference is between Cluster 1 and Cluster 4 (i.e., 2.02 times less than between 2 and 4).
Descriptive statistics were used to analyse the resulting clusters. The correlation between formed clusters is tested using analysis of variance (ANOVA). The following hypothesis was determined:
H1: 
SMEs representing individual clusters (based on the use of marketing communication tools and their intended use) in terms of selected attributes (enterprise size, majority ownership, territorial scope of marketing activities, agency used in marketing programs, customer database creation, and CRM use) are equal.

3. Results and Discussion

The data gathered and processed for the needs of SPSS Statistics were subjected to a cluster analysis of the K-means cluster. An alternative with the four resulting clusters with the random sequence of the RU2 cases was selected by comparing the possible results of the created clusters. Subsequently, these results were tested by ANOVA. The results are presented in Table 4. However, the significance of the differences does not make sense theoretically and, therefore, testing the hypotheses dealing with ANOVA averages is not possible especially due to the fact that clusters arise in such a way that the vectors differ as much as possible and the significance of differences is supported this way.
The F tests were used for descriptive purposes because the clusters were chosen to maximize the differences between cases in different clusters. The observed significance levels are not corrected and, thus, cannot be interpreted as testing the H1 hypothesis. When comparing the results of the F value in Table 4, the highest values are mentioned in the case of communication most involved in defining the resulting groups, the clusters. The use of mobilebluetooth marketing (F value of 1204.529, contributing 26.24 times more to determining the clusters than the website—the least evaluated item) was the most important factor. The use of product placement, guerrilla marketing, price awarding on radio and mobile geolocalization supported the rise of clusters significantly. Following the methods used, three significantly different clusters of SMEs in Slovakia (traditionalists, progressives and minimalists) were determined in terms of marketing communication tools implemented.

3.1. Cluster 1—Traditionalists

Cluster 1 represents 21.9% of enterprises (whereof 25.8% are foreign majority owned enterprises), 84.6% of them are small enterprises (80.2% domestic and 19.8% foreign majority owners) and 15.4% are medium-sized enterprises (41.2% domestic and 58.8% foreign majority ownership). The impact of implemented marketing communication activities is regional (51.1%), nationwide (33.9%), and international (14.9%). That is why, compared to other clusters, the fact that it is a smaller group with the highest number of a foreign majority owner can be seen. The impact of communication activities is especially regional compared to Clusters 2 and 4. Databases of customers are created by 71.5% of the traditionalists, but only 68.8% use them for marketing communications and 14% for other marketing activities. The CRM system is implemented by 33.9% while 32% consider it effective and 65.3% partially effective.
In terms of using marketing communication tools (Figure 1), it is rather a more conservative group of SMEs with running marketing communication strategy. More traditional forms of marketing communications are preferred by them. Television forms of marketing communications are the most often used by the SMEs in Cluster 1. Nowadays, up to 69.7% use cash prizes in competitions and 14.5% are planning to do so in the future; 51.6% of enterprises organize TV competitions; and 50.7% provide TV talks (17.6% are planning to do so in the future). More than half of the businesses in this cluster use radio for marketing communications in the form of commercials (58.8% and 18.1% are planning to use this form), talk shows and interviews (57.5% and 14.5 are planning it in the future); and almost half of businesses provide cash prizes in competitions (49.8% and 22.6% are planning it). Advertising spread by post is used by more than a half of enterprises (except the form of putting samples in mailboxes) and only a small percentage (2.7%–13.1%) is planning to use these forms in the future. Leaflets are used by 68.3%, direct mail by 61.1%, and catalogues by 52%.
Considering the point of sale, leaflets are the most commonly used form of advertising (84.2% and 5% are planning it), 58.4% organize competitions, 56.6% make presentations and 54.8% provide catalogues. Tasting (12.2%) is the form used least in terms of the point of sale. Compared to other clusters, print media advertising (74.7%), inserting leaflets (68.8%) and providing prizes in competitions (61.1%) are the most applied forms. Phone as a communication tool is used by enterprises. 27.1% of them focus on selling on the phone and 26.2% use the phone to contact their customers. Passive telemarketing is used only by 13.1%. Future progress of using the phone is planned in the range from 6% to 10%. Online forms of marketing communications, e.g., websites (84.2% and 0.9% are planning it), profiles on Facebook (81.4% and 1.8% are planning it), advertising banners (54.8%), direct emails (51.6%), Instagram (45.7%) and YouTube (40.7%) are used by companies in this cluster primarily. This cluster is characterized by the highest rate of the Internet advertising (13.6%) compared to 9.4% of enterprises in Cluster 2 and 3.7% in Cluster 4. Cinema ads are used by the overwhelming majority of companies (57.5% and 16.3% are planning it). Less than half of enterprises invest in billboard advertising (36.7%, and 7.7% are planning it) and vehicle advertising (44.8%, 3.6% are planning it); 55.7% organize events, 55.2% are involved in organizing events, and presentations are held by 52% of enterprises. More progressive forms such as guerrilla marketing (5.4%), buzz marketing, or WOM (4.1%) are rarely used.

3.2. Cluster 2—Progressives

A progressive cluster includes 19.03% of SMEs (21.9% foreign majority owned enterprises), whereof 81.3% are small enterprises (85.9% domestic and 14.1% foreign majority owners) and 18.7% are medium-sized enterprises (44.4% domestic and 54.6% foreign majority owners). Therefore, the impact of the implemented marketing communication activities is regional (39.6%), nationwide (39.1%) and international (21.4%). In fact, national and international impact of communication marketing activities is larger than in Clusters 1 and 4. A customer database is created by only 56.3% of the progressives, whereby only 55.2% of them use it for marketing communications and 17.2% for other marketing activities. A CRM system is implemented in 40.6% of the enterprises, and 56.4% consider it to be effective while 41% think it is only partially effective.
A wide range of communication tools is used by the members of Cluster 2 (Figure 1). However, in comparison to Cluster 1, Progressives prefer mobile, online and more progressive forms of communication tools and their plans and visions dealing with the future of media are ambitious. The use of TV for marketing purposes is less important than in Cluster 1, however, they are planning to use it especially in the future. Similarly to Cluster 1, prizes in TV competitions are provided by most enterprises (58.9% and 40.1% are planning to do it in the future). Talk shows are provided by 48.4% (49.5% are planning to do it in the future), and 40.6% use TV (direct-response advertising spots), and 58.3% of them are planning to implement this form into marketing communications in the future. Radio, e.g., ad spots with a direct response (including the phone number, website, or email), is preferred by more than half of enterprises in this cluster, 56.8%; 38% enterprises are planning to do so in the future. Moreover, 53.6% use it for classic advertising spots and 41.1% are planning to do so in the future. Beside the use of the aforementioned forms of radio communication, this group of SMEs has high aspirations for its implementation in the future (up to 70.3% are planning to send their representatives to radio sessions). Mailing as a marketing tool is widely used by these enterprises; leaflets are used by 71.9% of these enterprises, direct offers by 75.5% and catalogues by 62.5%, while 36.5% are planning to take advantage of postal services in the future. Sending samples is used by 35.4% and 57.8% are planning to do so in the future. The forms of communication at the point of sale are used by most members of this cluster, 78.1% of them are using leaflets (19.8% are planning to use them), 68.2% are using advertising banners and 30.7% are planning to use them, and 57.8% are using competitions. Compared to Cluster 1, space advertising, leaflets and prizes in competitions are used the enterprises in this cluster to a lesser extent. On the other hand, aspirations for their future implementation is relatively high, from 29.7% to 45.8%. Similarly, it is also high in the case of other forms of print media strongly used in the group. A landline for marketing communications is most often used by members of the Cluster 2, moreover, the members still not using it are planning to change it in the near future. Active customer contact is used by 36.5%, passive telemarketing by 32.3%, and sales on the phone is carried out by 30.7% of enterprises. This group of SMEs uses Internet communications (except for native advertising) most of all. A high percentage is planning to use them. Similar to other clusters, websites (86.5% and 13.5% are planning them) and Facebook profiles (83.9% and 15.1% is planning them) are the most used forms. Attention is also paid to viral marketing (69.3% and 30.7% are planning to use it), as well as to discussion forums (67.2% and 31.8% are planning them) and contextual advertising (64.1% and 34.9% are planning this). The enterprises in this cluster use and, in particular, are planning to use even less common forms such as content and affiliate marketing, SEO, vlogs and blogs. It is the group of companies using (or it is planning to use) cinema for marketing communications most, e.g., cinema ads (60.4% and 39.6% are planning to do so), sponsorship (25.5% and 68.2% are planning to do so) and product placement (19.8% and 72.9% are planning to do so in the future). Considering outdoor advertising, this group invests most and is planning to invest in stands (60.4% and 33.3% are planning), vehicle advertising (52.6% and 43.2% are planning) and billboards (37.5% and 52.6% are planning this investment). More than three quarters of enterprises in this cluster (77.6%) are planning to invest in ambient media. According to the other media used, the fact that this group does not only use but it also prefers using more progressive forms in the future, e.g., guerrilla marketing, as well as buzz marketing can be seen (15.6% of enterprises has already used them and 73.4% are planning to use them in the future. WOM is used by 10.4% of enterprises and 77.6% are planning to do so in the future; 62% organize and 32.8% are planning to organize events, and 55.2% are involved in organizing the events. In addition, presentations are held by 46.4% of enterprises.

3.3. Cluster 4—Minimalists

Cluster 4 is represented by 58.18% of enterprises (whereof 86.7% are domestic majority owners) and it consists of small enterprises (88.1%). In the case of 91.1% of them, the majority of owners are domestic and in the case of 8.9% the majority of owners are foreign. When medium-sized companies (11.9%) are mentioned, 54.3% of them have domestic and 45.7% foreign majority owners. The impact of implemented marketing communication activities is regional (46.2%), nationwide (35.4%), and international (18.4%); 84.5% of the minimalists create customer databases, but only 60.8% use them for marketing communications, and 12.4% for other marketing activities. Similar to Cluster 1, 33.9% has a CRM system. However, 47.7% of enterprises in this cluster consider it effective and 32.7% partially effective.
Marketing communications is not emphasised by this group of SMEs (Figure 1). However, they use marketing communication tools but only to a lesser extent. Websites and Facebook profiles are the most used forms. When investing in marketing communications, they prefer the following media: post office, point of sale, print, the Internet and organized and co-organized events, or exhibitions and fairs. Communication tools are not used by this group very often, moreover, they are not planned to be used in the future as well. TV and radio, landline, mobile, or outdoor advertising are implemented by these SMEs only rarely. In terms of point of sale, leaflets are used by 47.7% of enterprises, advertising banners by 35.5% and space advertising by 32%. Compared to other clusters, the fact that online marketing communication is the least used form in this group can be stated. These enterprises use only websites (79.9% and 8.3% are planning to do so) and Facebook profiles (58.9% and 11.2% are planning to do so in the future). The use of other forms of online marketing communication does not exceed 26%. Similar to other marketing tools, cinema is the least used or planned alternative by this group. Pre-release commercials are used by 16.4% of enterprises while other forms are not used very often. In the case of outdoor advertising, these enterprises pay the highest attention to vehicle advertisements (16.5%) while 12.1% of them focus on stands. The planning of future investments in outdoor advertising is almost none. Taking into consideration other forms of marketing communications, the fact that 31.2% of these enterprises organize events and participate in fairs and exhibitions (12.3% are planning to do so in the future) can be seen. Presentations are organized by 31.7% of enterprises.
Due to the composition of determined clusters, the dependence of several attributes, such as enterprise size, majority ownership, the territorial scope of marketing activities, agency used in marketing programs, customer database creation, and CRM were verified by ANOVA. Following the one-way ANOVA with the p-value smaller than 0.05 at the significance level of 5%, a significant difference in clusters was confirmed in terms of the majority owner of the enterprise (Table 5), the territorial scope of marketing communication programs (Table 6), the use of agency services for the implementation of marketing programs (Table 7), the creation of customer databases (Table 8), and the use of the CRM system (Table 9). Thus, the H0 claiming the given attribute is the same in the clusters was rejected in favour of the alternative hypothesis. By contrast, the size of the enterprise (Table 10) is not statistically significantly different comparing individual clusters. It is confirmed by the Anova test result, where p value is 0.56.
The H1 hypothesis is confirmed in the case of the attribute of enterprise size. In the case of the attributes of majority ownership, the territorial scope of marketing activities, agency used in marketing programs, customer database creation and CRM use, the H1 hypothesis was refused in favour of alternative one.
Following the research results, the fact that all companies use TV, radio, print media, mobile devices, the Internet, as well as outdoor and indoor advertising can be stated.
A marketing communication survey was carried out by Starchon and Vilcekova [107] in 2007 and 2017. More than 300 enterprises participated in this research and the findings reflect changes in communication behaviour. For example, an increase in consumer contests can be observed. According to this study, in 2007, this tool was used only by 16% of enterprises. Compared to the year 2017, it was more than 33% of the studied enterprises. An overall growth can be observed in the intensity of using different tools including television. Starchon and Vilcekova [107] mentioned that in 2007, 23% of companies used TV commercials while in 2017 it was 34%. While advertising in print media has a general tendency to decline, an increase in PR activities can be seen. Unsurprisingly, the biggest change can be noticed in using the new media. An increase of 13% can be observed in content marketing (7% in 2007 compared to 19% in 2017). The huge increase can be seen in the use of social media. In 2007, only 7% of enterprises used this tool while in 2017 it was 75% [107]. In Slovakia, most of the enterprises use Facebook, Instagram and YouTube to communicate with their customers. SMEs represent a significant part of Slovak economy with the greatest potential for growth and the impact on economic stabilization and balanced development of the regions [108,109,110,111,112]. In Slovakia, 99.9% of the total number of business entities are SMEs and in 2017, they recorded increased employment (+1.4%), added value (+8.9%), or profit (+7.5%), while value added growth in this sector was the most significant over the course of the last seven years [12]. In the competitive market, SMEs are vulnerable and exposed to many risks but their existence and success are of great importance in the Slovak Republic. Therefore, the aim of the study is to support companies by helping them make the right decision about developing suitable marketing communication programs using adequate communication tools and selecting appropriate media.
Pohludka and Štverková [108] present the results of the research focused on the use of CRM in SMEs in the Czech Republic carried out using a sample of 319 business entities. Following their research, the fact that, similarly to the enterprises in Slovakia, there is a significant gap between companies creating customer databases (81%) and subsequently using the data within a CRM (45%) can be seen. Collecting customer data does not mean that a CRM is implemented in the enterprise. A CRM philosophy is a prerequisite for an enterprise to collect customers’ data and cooperate with them.
When verifying the CRM implementation in the studied enterprises, the fact that 45% of entities have a CRM system, 3% are in the implementation phase; 21% consider implementation and 31% of respondents do not consider implementing CRM was found. In particular, micro-businesses do not think about a CRM system implementation. Taking a closer look at the medium-sized enterprises, 80% of the studied entities have already implemented the CRM system. These results are comparable to those found in SMEs in Slovakia, where 75.5% of SMEs create customer databases and only 40.7% of them use them for the purpose of CRM. In 2012, Urdzikova et al. [113] presented the results of the use of CRM by manufacturing companies in Slovakia. At that time, 0.1% of micro, 40% of small and 40% of medium manufacturing enterprises (in total 262 manufacturing enterprises were analysed) used CRM. Therefore, the further research problem about the use of CRMs and the creation of databases in terms of individual segments arises.

4. Conclusions

Entrepreneurial activities are affected by many external factors. Under the pressure of a global competitive environment, businesses have to create sophisticated business strategies. The effect of the upcoming Industry 4.0 is similar. An active use of advanced information technology in the business environment is at the centre of attention. Sustainability is an important part of strategic business management. It can be achieved through effective marketing communications taking into account current trends. The sustainability in marketing communications employed within SMEs depends largely on the level of innovation reflected in the use of modern electronic tools. On the other hand, there is a range of limitations in marketing communication activities of SMEs resulting from restricted finances as well as from the fact that owners and employees of SMEs tend to be generalists rather than specialists, so their marketing expertise is often limited. This brings us to the conclusion that in order to succeed in both domestic and international markets, innovations must be not only at the manufacturing or service level but also in adopting creative and innovative marketing communication activities and in selecting appropriate and adequate marketing communication tools. The aim of the paper was to present the clusters created by the use of marketing communication tools in SMEs. Following the use of a K-means cluster analysis, three clusters significantly different in terms of the majority of owners of an enterprise, the territorial scope of marketing activities, the use of the agency in implementing marketing programs, customer database creation and the use of the CRM system were determined. In terms of enterprise size, these clusters are comparable. The attitude to the previously established and used communication programs applied in the group with the largest foreign ownership was the main difference in the use of marketing tools. Compared to other clusters, TV and radio media were used more frequently. Similarly, the group of enterprises in Cluster 4, the “Minimalists” over-represented within SMEs (formed by 58.18% of SMEs whereof 88.1% are small enterprises), is comparably traditional. Minimalistic marketing communication activities in terms of marketing tools are preferred by these enterprises. Following the research results, they are not planning to change significantly this trend in the future. Their attention is focused on using the websites, Facebook profiles, leaflets, general advertising, organizing events and presentations or participating in exhibitions and fairs. This group consists mostly of small businesses with close relationship with customers. Their customer database is the largest one (up to 84.5, by 13 % more than in the case of the Traditionalists (Cluster 1) and by 28.2% more than the Progressives (Cluster 2). Moreover, a majority of them use the databases for marketing communications. The progressive members of Cluster 2—the “Progressives”—are the most different group of enterprises. They are active in the use of communication tools and prefer forms that are more progressive. Their vision of incorporating forms of communication tools in the future is highly ambitious. This is a group with higher domestic representation, whose marketing activities are rather national or even international. Their visions and real use of marketing communication tools are in contrast with the number of customer databases created. Only 55.2% of enterprises in this group create databases at the same time. However, these enterprises use the CRM system most (up to 40.6%).
The results of this empirical study conducted in SMEs in Slovakia enhance knowledge about the use of marketing communication tools in firms. It provides a valuable view into the presence and implementation of marketing activities as well as the choice of media in promotional campaigns. Most of the budget allocated for marketing communications is spent especially on traditional media such as broadcast (TV and radio) and print media. However, in Slovakia, a tendency to invest in marketing communication activities in new media (the Internet and mobile) has been steadily increasing since the beginning of the 21st century. The Internet and the widespread use of social media have become effective and profitable tools of promoting company products and services. In the case of SMEs, they take advantage of social media because of cost effectiveness, time saving and engagement with customers.
Sustainable development at the SME level is essential and inevitable. The 4.0 Industry Revolution is accompanied by the expectations and demands of customers in the intelligent use of information technology in marketing communications as well as its connection with integrated marketing communications. From this point of view, Cluster 2 (the “Progressives”) enterprises are the most responsive to this transition. Nowadays, they are no longer satisfied with websites (86.5%) and social networks (83.9%), but they focus also on viral marketing (69.3%), contextual advertising and, to a lesser extent, on the use of SEO, vlogs and blogs, buzz marketing, and e-WOM, etc. Cluster 1 (Traditionalists) has no problem with the more common forms of e-marketing communication tools (websites, social networks, native internet advertising, banner ads, direct-mails), however, buzz marketing and e-WOM are almost unused by them.
The transition to Industry 4.0 will be the biggest challenge facing the largest cluster, Cluster 4 (the “Minimalists”). These small enterprises are primarily focused on personal approach to customers. However, the benefits of information technology are not excluded. Without taking advantage of the benefits provided by information technology in marketing, there is a risk that customers will begin to favour competition. Using CRM and e-WOM offers a great advantage to these businesses in order to improve their personal approach and strong customer relationships. SMEs should realize the importance of WOM and e-WOM marketing. Customers’ comments as well as experience shared in social networks can strengthen or, on the other hand, destroy the reputation of an enterprise. The more consumers chat and write online about the company, its products and services in a positive way, the better promotion of the enterprise and its performance.

Author Contributions

Conceptualization, L.L., P.Š., S.L., D.W. and P.P.; methodology, L.L., P.Š., S.L., D.W. and P.P.; data curation, L.L., P.Š., S.L., D.W. and P.P.; writing—original draft preparation, L.L., P.Š., S.L., D.W. and P.P.; visualization, L.L., P.Š., S.L., D.W. and P.P.

Acknowledgments

This research was supported by VEGA 1/0024/17 “Computational model of motivation”, VEGA 1/0320/17 “Economic and Social Context of European 20/20/20 Targets from the Viewpoint of Economy Low-energy Houses”, APVV 16-0297 “Updating of anthropometric database of Slovak population”, TAČR - ÉTA -project TL02000559 Safe and secure cities for pedestrians and senior citizens and TL02000017 Inter-generation cooperation in digitalization.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Kazmir, S.A.Z.; Naaranoja, M. Inspiring European small and medium enterprise (SME) sector by inserting effective business transfer process. In Proceedings of the AHFE International Conference on Human Factors, Business Management and Society, Orlando, FL, USA, 21–25 July 2018. [Google Scholar]
  2. Bojica, A.M.; Estrada, I.; del Mar Fuentes-Fuentes, M. In good company: When small and medium-sized enterprises acquire multiplex knowledge from key commercial partners. J. Small Bus. Manag. 2018, 56, 294–311. [Google Scholar] [CrossRef]
  3. Stoian, M.C.; Dimitratos, P.; Plakoyiannaki, E. SME internationalization beyond exporting: A knowledge-based perspective across managers and advisers. J. World Bus. 2018, 53, 768–779. [Google Scholar] [CrossRef]
  4. Bartakova, G.P.; Gubiniova, K.; Brtkova, J.; Hitka, M. Actual trends in the recruitment process at small and medium-sized enterprises with the use of social networking. Econ. Ann.-XXI 2017, 164, 80–84. [Google Scholar] [CrossRef] [Green Version]
  5. Sawang, S.; Parker, R.; Hine, D. How small business advisory program delivery methods (collective learning, tailored, and practice-based approaches) affect learning and innovation. J. Small Bus. Manag. 2016, 54, 244–261. [Google Scholar] [CrossRef]
  6. Gejdoš, M.; Danihelová, Z. Valuation and timber market in the Slovak Republic. Procedia Econ. Financ. 2015, 34, 697–703. [Google Scholar] [CrossRef]
  7. Hitka, M.; Zavadska, Z.; Jelacic, D.; Balazova, Z. Qualitative indicators of company employee satisfaction and their development in a particular period of time. Drv. Ind. 2015, 66, 235–239. [Google Scholar] [CrossRef]
  8. McCann, M.; Barlow, A. Use and measurement of social media for SMEs. J. Small Bus. Enterp. Dev. 2015, 22, 273–287. [Google Scholar] [CrossRef]
  9. Higón, D.A.; Driffield, N. Exporting and innovation performance: Analysis of the annual small business survey in the UK. Int. Small Bus. J. 2011, 29, 4–24. [Google Scholar] [CrossRef]
  10. Dennis, W.J., Jr. Entrepreneurship, small business and public policy levers. J. Small Bus. Manag. 2011, 49, 149–162. [Google Scholar] [CrossRef]
  11. SBA. Malé a stredné podnikanie v číslach v roku 2017. Available online: https://www.npc.sk/file?uuid=b40742be-ac93-4fd0-ae60-b52467626139 (accessed on 27 November 2018).
  12. Cornett, M.M.; Erhemjamts, O.; Tehranian, H. Competitive environment and innovation intensity. Glob. Financ. J. 2019, 41, 44–59. [Google Scholar] [CrossRef]
  13. Li, S.; Han, S.; Shen, T. How can a firm innovate when embedded in a cluster?—Evidence from the automobile industrial cluster in China. Sustainability 2019, 11, 1837. [Google Scholar] [CrossRef]
  14. Korauš, A.; Mazák, M.; Dobrovič, J. Quantitative analysis of the competitiveness of Benelux countries. Entrep. Sustain. 2018, 5, 1069–1083. [Google Scholar] [CrossRef]
  15. Hitka, M.; Vetrakova, M.; Balazova, Z.; Danihelova, Z. Corporate culture as a tool for competitiveness improvement. Procedia Econ. Financ. 2015, 34, 27–34. [Google Scholar] [CrossRef]
  16. Bayraktar, C.A.; Hancerliogullari, G.; Cetinguc, B.; Calisir, F. Competitive strategies, innovation, and firm performance: An empirical study in a developing economy environment. Technol. Anal. Strateg. Manag. 2017, 29, 38–52. [Google Scholar] [CrossRef]
  17. Klaric, K.; Greger, K.; Klaric, M.; Andric, T.; Hitka, M.; Kropivsek, J. An exploratory assessment of FSC chain of custody certification benefits in Croatian wood industry. Drv. Ind. 2016, 67, 241–248. [Google Scholar] [CrossRef]
  18. Pratistha, B. The influence of strategic control, strategy orientation, and business environment on competitive strategy and its effect to business performance. Acad. Strateg. Manag. J. 2016, 15, 15–23. [Google Scholar]
  19. Hitka, M.; Potkany, M.; Sirotiakova, M. Proposal of assessment of wood processing company employees. Drew.-Wood 2009, 182, 91–102. [Google Scholar]
  20. Dominguez, N. SME Internationalization Strategies: Innovation to Conquer New Markets; Wiley Backwell: Malden, MA, USA, 2018. [Google Scholar]
  21. Graa, A.; Abdelhak, S. A review of branding strategy for small and medium enterprises. Acta Oeconomica Univ. Selye 2016, 5, 67–72. [Google Scholar]
  22. Agrawal, S.R.; Mittal, D. Measuring CRM effectiveness in Indian stock broking services. J. Glob. Inf. Manag. 2019, 27, 144–164. [Google Scholar] [CrossRef]
  23. Fróis, J.; Teresa Pereira, M.; Ferreira, F.A. How a CRM tool can contribute to a better business performance: The case of a shipping company. In Proceedings of the 3rd Conference on Innovation, Engineering and Entrepreneurship, Regional HELIX 2018, Guimaraes, Portugal, 27–29 June 2018. [Google Scholar]
  24. Minh Ngo, V.; Pavelkova, D.; Phu Thi Phan, Q.; Van Nguyen, N. Customer relationship management (CRM) in small and medium tourism enterprises: A dynamic capabilities perspective. Tour. Hosp. Manag. 2018, 24, 63–86. [Google Scholar] [CrossRef]
  25. Belz, F.M.; Binder, J.K. Sustainable entrepreneurship: A convergent process model. Bus. Strategy Environ. 2017, 26, 1–17. [Google Scholar] [CrossRef]
  26. Lengler, J.F.B.; Sousa, C.M.P.; Perin, M.G.; Sampaio, C.H.; Martínez-López, F.J. The antecedents of export performance of Brazilian small and medium-sized enterprises (SMEs): The non-linear effects of customer orientation. Int. Small Bus. J. Res. Entrep. 2016, 34, 701–727. [Google Scholar] [CrossRef] [Green Version]
  27. Newby, M.; Nguyen, T.H.; Waring, T.S. Understanding customer relationship management technology adoption in small and medium-sized enterprises: An empirical study in the USA. J. Enterp. Inf. Manag. 2014, 27, 541–560. [Google Scholar] [CrossRef]
  28. Kwok, L.; Yu, B. Spreading social media messages on Facebook: An analysis of restaurant business-to-consumer communications. Cornell Hosp. Q. 2013, 54, 84–94. [Google Scholar] [CrossRef]
  29. Brammer, S.; Jackson, G.; Matten, D. Corporate social responsibility and institutional theory: New perspectives on private governance. Socio-Econ. Rev. 2012, 10, 3–28. [Google Scholar] [CrossRef]
  30. Crittenden, V.L.; Crittenden, W.F.; Ferrell, L.K.; Ferrell, O.C.; Pinney, C.C. Market-oriented sustainability: A conceptual framework and propositions. J. Acad. Mark. Sci. 2011, 39, 71–85. [Google Scholar] [CrossRef]
  31. Jones, R.; Rowley, J. Entrepreneurial marketing in small businesses: A conceptual exploration. Int. Small Bus. J. 2011, 29, 25–36. [Google Scholar] [CrossRef]
  32. Arvidsson, S. Communication of corporate social responsibility: A study of the views of management teams in large companies. J. Bus. Ethics 2010, 96, 339–354. [Google Scholar] [CrossRef]
  33. Kubeš, V.; Rančák, J. Sustainability of organization performance via management techniques. Entrep. Sustain. 2018, 5, 1031–1042. [Google Scholar] [CrossRef]
  34. Amran, A.; Ooi, S.K.; Mydin, R.T.; Devi, S.S. The Impact of business strategies on online sustainability disclosures. Bus. Strategy Environ. 2015, 24, 551–564. [Google Scholar] [CrossRef]
  35. Ashley, C.; Tuten, T. Creative strategies in social media marketing: An exploratory study of branded social content and consumer engagement. Psychol. Mark. 2015, 32, 15–27. [Google Scholar] [CrossRef]
  36. Hultman, M.; Katsikeas, C.S.; Robson, M.J. Export promotion strategy and performance: The role of international experience. J. Int. Mark. 2011, 19, 17–39. [Google Scholar] [CrossRef]
  37. Nyvlt, V. The role of managing knowledge and information in BIM implementation processes in the Czech Republic. In Proceedings of the 9th International Scientific Conference on Building Defects, East Java, Indonesia, 23–24 November 2018. [Google Scholar] [CrossRef]
  38. Lee, Y.C. Corporate Sustainable Development and Marketing Communications on Social Media: Fortune 500 Enterprises. Bus. Strategy Environ. 2017, 26, 569–583. [Google Scholar] [CrossRef]
  39. Khúlová, L. Marketing mix of internationally active company in terms of transport and logistics (export to the USA and China). Acta Oeconomica Univ. Selye 2016, 5, 85–95. [Google Scholar]
  40. Oblak, L.; Glavonjić, B. A model for the evaluation of radio advertisements for the sale of timber products. Drv. Ind. 2014, 65, 303–308. [Google Scholar] [CrossRef]
  41. Boso, N.; Cadogan, J.W.; Story, V.M. Complementary effect of entrepreneurial and market orientations on export new product success under differing levels of competitive intensity and financial capital. Int. Bus. Rev. 2012, 21, 667–681. [Google Scholar] [CrossRef]
  42. Armario, J.M.; Ruiz, D.M.; Armario, E.M. Market orientation and internationalization in small and medium-sized enterprises. J. Small Bus. Manag. 2008, 46, 485–511. [Google Scholar] [CrossRef]
  43. Bonerjee, S.; Mandal, K. Advertisement vs societal based marketing communication: An empirical analytic comparison vis-a-vis profit contribution. Indian J. Mark. 2018, 48, 7–21. [Google Scholar] [CrossRef]
  44. Grimaldi, J. The Art of Advertising; Aspatore: Eagan, MN, USA, 2003. [Google Scholar]
  45. Hanuláková, E. Etika v Marketingu; Eurounion: Bratislava, Slovakia, 1996. [Google Scholar]
  46. Llopis-Amorós, M.P.; Gil-Saura, I.; Molina, M.E.R. The role of marketing communications in generating brand equity for an event. Event Manag. 2018, 22, 825–848. [Google Scholar] [CrossRef]
  47. Šimo, D. Agrárny Marketing; SPU: Nitra, Slovakia, 2006. [Google Scholar]
  48. Kita, J. Marketing; Ekonóm: Bratislava, Slovakia, 2000. [Google Scholar]
  49. Medved, J.; Kováčová, Z. Finančný a Bankový Marketing; SPRINT: Bratislava, Slovakia, 2003. [Google Scholar]
  50. Ďaďo, J.; Petrovičová, J.; Kostková, M. Marketing Služieb; EPOS: Bratislava, Slovakia, 2006. [Google Scholar]
  51. Pelsmacker, P.; Geuens, M.; Van den Bergh, J. Marketingová Komunikace; Grada Publishing: Praha, Czech Republic, 2003. [Google Scholar]
  52. Bazhan, M.; Naser, K.; Nastaran, K.M.; Hedayat, H.; Hassan, E.Z.; Hamid, A. Applying social marketing mix to identify consumers’ preferences towards functional dairy products in Iran. Nutr. Food Sci. 2018, 48, 45–60. [Google Scholar] [CrossRef]
  53. Potkany, M.; Hitka, M.; Krajcirova, L. Life cycle cost calculation at the transport company in the supply of production of wooden houses—Case Study. Web Conf. 2017, 134. [Google Scholar] [CrossRef]
  54. El Baz, J.; Laguir, I.; Marais, M.; Staglianò, R. Influence of national institutions on the corporate social responsibility practices of small- and medium-sized enterprises in the food-processing industry: Differences between France and Morocco. J. Bus. Ethics 2016, 134, 117–133. [Google Scholar] [CrossRef]
  55. Ainin, S.; Parveen, F.; Moghavvemi, S.; Jaafar, N.I.; Shuib, N.L.M. Factors influencing the use of social media by SMEs and its performance outcomes. Ind. Manag. Data Syst. 2015, 115, 570–588. [Google Scholar] [CrossRef]
  56. Ďurišová, M.; Falát, L.; Malichová, E. The influence of business intelligence on digital marketing and the economic situation of the enterprise. In Proceedings of the International Scientific Conference Marketing Identity: Digital Life, Smolenice, Slovakia, 10–11 November 2015. [Google Scholar]
  57. Kim, Y.; Briley, D.A.; Ocepek, M.G. Differential innovation of smartphone and application use by sociodemographics and personality. Comput. Hum. Behav. 2015, 44, 141–147. [Google Scholar] [CrossRef]
  58. Frey, P. Marketingová Komunikace: To Nejlepší z Nových Trendů; Management Press: Praha, Czech Republic, 2008. [Google Scholar]
  59. Tarute, A.; Nikou, S.; Gatautis, R. Mobile application driven consumer engagement. Telemat. Inform. 2017, 34, 145–156. [Google Scholar] [CrossRef]
  60. Kaplan, A.M. If you love something, let it go mobile: Mobile marketing and mobile social media 4 × 4. Bus. Horiz. 2012, 55, 129–139. [Google Scholar] [CrossRef]
  61. Mirchev, A.; Dicke, P. Mobile marketing and the usage of a smartphone. Mark. Manag. Innov. 2011, 4, 50–54. [Google Scholar]
  62. Škapa, R.; Částek, O. Faktory Ovlivňující Osvojení Mobilních Služeb: Mezikulturní Porovnání, Vývojové Tendence Podniků; Masarykova univerzita v Brně: Brno, Czech Republic, 2005. [Google Scholar]
  63. Zujewska, B. Guerrilla Marketing a Creative Marketing Method for Start-Ups. Available online: https://www.theseus.fi/bitstream/handle/10024/89246/Zujewska_Barbara.pdf?sequence=1 (accessed on 16 January 2019).
  64. Monzel, M. 99 tipů Pro Úspěšnější Reklamu; Grada Publishing: Praha, Czech Republic, 2009. [Google Scholar]
  65. Baltes, G.; Leibing, I.L. Guerrilla marketing for information services? New Libr. World 2008, 109, 46–55. [Google Scholar] [CrossRef]
  66. Přikrylová, J.; Jahodová, H. Moderní Marketingová Komunikace; Grada Publishing: Praha, Czech Republic, 2010. [Google Scholar]
  67. Matúš, J.; Petranová, D. Aktuálne Marketingové Trendy v Teórii a Praxi; EDIS: Žilina, Slovakia, 2008. [Google Scholar]
  68. Nadanyiová, M. Global trends of the personnel marketing in service enterprises. In Proceedings of the 16th International Scientific Conference on Globalization and its Socio-Economic Consequences, Rajecke Teplice, Slovakia, 5–6 October 2016. [Google Scholar]
  69. Majerova, J.; Kliestik, T. Brand valuation as an immanent component of brand value building and managing. In Proceedings of the 4th World Conference on Business, Economics and Management, Ephesus, Turkey, 30 April–2 May 2015. [Google Scholar]
  70. Costa-Sánchez, C.; Fontela Baró, B. Corporate communication, marketing, and video games. Stud. Syst. Decis. Control 2019, 154, 421–433. [Google Scholar] [CrossRef]
  71. Lieskovská, V. Vybrané Kapitoly z Marketingovej Komunikácie; Ekonóm: Bratislava, Slovakia, 2002. [Google Scholar]
  72. Hitka, M.; Kozubikova, L.; Potkany, M. Education and gender-based differences in employee motivation. J. Bus. Econ. Manag. 2018, 19, 80–95. [Google Scholar] [CrossRef]
  73. Hitka, M.; Balazova, Z. Comparison of motivation level of service sector employees in the regions of Slovakia and Austria. Procedia Econ. Financ. 2015, 23, 348–355. [Google Scholar] [CrossRef]
  74. Okazaki, S.; Taylor, C.R. Social media and international advertising: Theoretical challenges and future directions. Int. Mark. Rev. 2013, 30, 56–71. [Google Scholar] [CrossRef]
  75. Abdolmaleki, H.; Zahra, S.M.; Ebrahim, A.G. Identify and prioritise factors affecting sports consumer behaviour in Iran. Int. J. Sport Manag. Mark. 2018, 18, 42–62. [Google Scholar] [CrossRef]
  76. Galvao, M.B.; de Carvalho, R.C.; Oliveira, L.A.B.; Medeiros, D.D. Customer loyalty approach based on CRM for SMEs. J. Bus. Ind. Mark. 2018, 33, 706–716. [Google Scholar] [CrossRef]
  77. Anisimova, T. Integrating multiple factors affecting consumer behavior toward organic foods: The role of healthism, hedonism, and trust in consumer purchase intentions of organic foods. J. Food Prod. Mark. 2016, 22, 809–823. [Google Scholar] [CrossRef]
  78. Delcourt, C.; Gremler, D.D.; Van Riel, A.C.R.; Van Birgelen, M. Effects of perceived employee emotional competence on customer satisfaction and loyalty: The mediating role of rapport. J. Serv. Manag. 2013, 24, 5–24. [Google Scholar] [CrossRef]
  79. Kuzman, M.; Motik, D.; Bičanić, K.; Vlosky, R.; Oblak, L. A comparative analysis of consumer attitudes on the use of wood products in Slovenia and Croatia. Drv. Idustrija 2012, 63, 71–79. [Google Scholar] [CrossRef]
  80. Guha, S.; Harrigan, P.; Soutar, G. Linking social media to customer relationship management (CRM): A qualitative study on SMEs. J. Small Bus. Entrep. 2018, 30, 193–214. [Google Scholar] [CrossRef]
  81. Mészáros, M. Employing’ of self-employed persons. Cent. Eur. J. Labour Law Pers. Manag. 2018, 1, 46–67. [Google Scholar] [CrossRef]
  82. Odoom, R.; Anning-Dorson, T.; Acheampong, G. Antecedents of social media usage and performance benefits in small- and medium-sized enterprises (SMEs). J. Enterp. Inf. Manag. 2017, 30, 383–399. [Google Scholar] [CrossRef]
  83. Knoll, J. Advertising in social media: A review of empirical evidence. Int. J. Advert. 2016, 35, 266–300. [Google Scholar] [CrossRef]
  84. Dessart, L.; Veloutsou, C.; Morgan-Thomas, A. Consumer engagement in online brand communities: A social media perspective. J. Prod. Brand Manag. 2015, 24, 28–42. [Google Scholar] [CrossRef]
  85. Žuľová, J.; Švec, M.; Madleňák, A. Personality aspects of the employee and their exploration from the GDPR perspective. Cent. Eur. J. Labour Law Pers. Manag. 2018, 1, 68–77. [Google Scholar] [CrossRef]
  86. Kucharčíková, A. Investment in the human capital as the source of economic growth. Period. Polytech. Soc. Manag. Sci. 2014, 22, 29–35. [Google Scholar] [CrossRef]
  87. Ninda Safitri, L.; Sarno, R.; Intani Budiawati, G. Improving business process by evaluating enterprise sustainability indicators using fuzzy rule based classification. In Proceedings of the 2018 International Seminar on Application for Technology of Information and Communication: Creative Technology for Human Life, iSemantic 2018, Universitas Dian Nuswantoro, Semarang, Indonesia, 27 November 2018. [Google Scholar]
  88. Jansson, J.; Nilsson, J.; Modig, F.; Hed Vall, G. Commitment to sustainability in small and medium-sized enterprises: The influence of strategic orientations and management values. Bus. Strategy Environ. 2017, 26, 69–83. [Google Scholar] [CrossRef]
  89. Larsch, S.; Betz, S.; Duboc, L.; Madgaleno, A.M.; Bomfim, C. Integrating sustainability aspects in business process management. Lect. Notes Bus. Inf. Process. 2017, 281, 403–415. [Google Scholar] [CrossRef]
  90. Magdaleno, A.M.; Duboc, L.; Betz, S. How to incorporate sustainability into business process management lifecycle? Lect. Notes Bus. Inf. Process. 2017, 281, 440–443. [Google Scholar] [CrossRef]
  91. Gupta, P.D.; Bhattacharya, S. Impact of knowledge management processes for sustainability of small family businesses: Evidences from the Brassware Sector of Moradabad. J. Inf. Knowl. Manag. 2016, 15. [Google Scholar] [CrossRef]
  92. Pádua, S.I.D.; Jabbour, C.J.C. Promotion and evolution of sustainability performance measurement systems from a perspective of business process management: From a literature review to a pentagonal proposal. Bus. Process Manag. J. 2015, 21, 403–418. [Google Scholar] [CrossRef]
  93. Shkurupska, I.; Litovchenko, I. The development of marketing communications under the influence of the Industry 4.0. Int. Sci. J. Ind. 2016, 1, 103–106. [Google Scholar]
  94. Bettiol, M.; Capestro, M.; Di Maria, E. Industry 4.0: The Strategic Role of Marketing. In Proceedings of the XIV Convegno Annuale SIM, Bergamo, Italy, 26–27 October 2017; pp. 1–7. [Google Scholar]
  95. Pollák, F.; Dorčák, P. The effective use of Facebook by small and medium sized enterprises operating in Slovakia. Trz. Mark. 2016, 28, 79–91. [Google Scholar]
  96. Hudák, M.; Kianičková, E.; Madleňák, R. The importance of e-mail marketing in e-commerce. Procedia Eng. 2017, 192, 342–347. [Google Scholar] [CrossRef]
  97. Foroudi, P.; Gupta, S.; Nazarian, A.; Duda, M. Digital technology and marketing management capability: Achieving growth in SMEs. Qual. Mark. Res. Int. J. 2017, 20, 230–246. [Google Scholar] [CrossRef]
  98. Ščeulovs, D.; Gaile-Sarkane, E. Impact of e-environment on SMEs business development. Procedia-Soc. Behav. Sci. 2014, 156, 409–413. [Google Scholar] [CrossRef]
  99. Gregori, G.L.; Marinelli, L.; Temperini, V. Využívanie nástrojov digitálneho marketingu v MSP: Potreby, problémy a príležitosti. Empirická štúdia v regióne Marche. Int. J. SalesRetail. Mark. 2015, 4, 69–77. [Google Scholar]
  100. Bačík, R.; Mudrík, M.; Štefko, R.; Kot, S. Analysis of tourism travel trends after 2014. J. Environ. Manag. Tour. 2016, 7, 88–93. [Google Scholar] [CrossRef]
  101. Svoboda, J.; Šalgovičová, J.; Polakovič, A. Religion and tourism in Slovakia. Eur. J. Sci. Theol. 2013, 9, 125–132. [Google Scholar]
  102. Zaušková, A.; Bezáková, Z.; Grib, L. Marketing communication in eco-innovation process. Procedia Econ. Financ. 2015, 34, 670–675. [Google Scholar] [CrossRef]
  103. Nadanyiova, M.; Kicova, E.; Rypakova, M. Green marketing and its exploitation in Slovak companies. Procedia Econ. Financ. 2015, 26, 219–226. [Google Scholar] [CrossRef]
  104. Schüller, D.; Chalupský, V. Marketing communication management of higher education institutions. Acta Univ. Bohem. Merid. 2012, 15, 61–69. [Google Scholar]
  105. Ferencova, M. Investigating possibilities of using tools for promoting higher-education institutions in areas of e-communication. J. Appl. Manag. Investig. 2012, 1, 151–159. [Google Scholar]
  106. Řehák, J.; Brom, O. SPSS—Practical Data Analysis; Computer Press: Brno, Slovakia, 2015. [Google Scholar]
  107. Štarchoň, P.; Vilčeková, L. Evolution of marketing communications in Slovakia. In Proceedings of the 24th EBES Conference, Bangkok, Thailand, 10–12 January 2018. [Google Scholar]
  108. Pohludka, M.; Štverková, H. The best practice of CRM implementation for small- and medium-sized enterprises. Adm. Sci. 2019, 9, 22. [Google Scholar] [CrossRef]
  109. Haviernikova, K.; Ivanova, E. Evaluation of selected risk categories related to marketing activities by SMEs in case of potential cluster cooperation. In Proceedings of the 3rd International Conference on Economic and Business Management (FEBM 2018), Hohhot, China, 20–22 October 2018. [Google Scholar] [CrossRef]
  110. Mura, L.; Mazák, M. Innovative activities of family SMEs: Case study of the Slovak regions. Online J. Model. New Eur. 2018, 27, 132–147. [Google Scholar] [CrossRef]
  111. Lesáková, L.; Gundová, P.; Král, P.; Ondrušová, A. Innovation leaders, modest innovators and non-innovative SMEs in Slovakia: Key factors and barriers of innovation activity. Organizacija 2017, 50, 325–338. [Google Scholar] [CrossRef]
  112. Marková, V.; Sedliačiková, M.; Gurova, D.H. The model of financial budgeting and planning for micro and small enterprises. In Proceedings of the 16th International Scientific Conference on Globalization and its Socio-Economic Consequences, Rajecke Teplice, Slovakia, 5–6 October 2016. [Google Scholar]
  113. Urdzikova, J.; Jakabova, M.; Saniuk, S. The customer relationship management in terms of business practice in Slovakia. Res. Pap. Fac. Mater. Sci. Technol. Slovak Univ. Technol. 2012, 26–34. [Google Scholar] [CrossRef]
Sustainability 11 02302 g001 550
Figure 1. Use and planned use of marketing communication tools by small and medium-sized enterprises (SMEs).
Figure 1. Use and planned use of marketing communication tools by small and medium-sized enterprises (SMEs).
Sustainability 11 02302 g001
Table
Table 1. Description of sampling unit.
Table 1. Description of sampling unit.
Type of EnterpriseFrequencyPercentValid PercentCumulative Percent
Small enterprise86986.1086.1086.10
Medium-sized enterprise14013.9013.90100.00
Total1009100.00100.00
Source: Authors’ compilation.
Table
Table 2. Number of cases in each cluster.
Table 2. Number of cases in each cluster.
ClusterSmall EnterpriseMedium-Sized Enterprise Row Sums
1 cluster 21.90%
Absolute frequency 18734221
Relative frequency84.60%15.40%
2 cluster 19.03%
Absolute frequency 15636192
Relative frequency81.30%18.80%
3 cluster 0.89%
Absolute frequency 909
Relative frequency0.89%0.00%
4 cluster 58.18%
Absolute frequency 51770578
Relative frequency88.10%11.90%
Total absolute frequency8691401009
Total relative frequency86.10%13.90%100.00%
Source: Authors’ compilation.
Table
Table 3. Distances between final clusters.
Table 3. Distances between final clusters.
Cluster1234
1 6.0377.2814.467
2- 10.1729.063
3-- 7.451
4symmetric--
Source: Authors’ compilation.
Table
Table 4. The analysis of variance (ANOVA) analysis.
Table 4. The analysis of variance (ANOVA) analysis.
MediaMarketing Communications FormClusterErrorFSig.
Mean SquaredfMean Squaredf
TelevisionClassic advertising spots81.28430.3821005212.7750.000
Advertising spots with a direct response61.36730.4921005124.7010.000
TV program sponsorship66.56930.2481005268.9570.000
Interviews with company representatives46.06630.3581005128.5870.000
Interviews40.46930.641100563.1300.000
Organizing competitions96.05630.3981005241.0570.000
Providing prizes to competitions127.34930.4061005313.7690.000
Product placement72.09630.3761005191.8220.000
Teleshopping39.91730.1241005321.4830.000
Teletext46.41330.1311005353.6410.000
RadioClassic advertising spots116.49930.4211005276.4090.000
Advertising spots with a direct response102.67230.3071005334.7630.000
Program sponsorship87.12330.2681005325.6330.000
Interviews with company representatives51.76730.3581005144.6100.000
Interviews95.70930.4741005202.0500.000
Organizing competitions75.10630.3291005228.1650.000
Providing prizes to competitions124.37430.2781005446.8740.000
Product placement59.29930.2301005258.3270.000
Point of saleLeaflets40.12830.658100560.9580.000
Posters49.93930.743100567.2370.000
Catalogues54.50230.692100578.7550.000
Tasting61.10830.2881005212.1570.000
Competitions100.86530.5041005200.2230.000
Presentations51.90930.703100573.8910.000
Print (newspapers, magazines)Desktop advertising (classic)62.48730.679100592.0510.000
Desktop advertising with a response62.22630.3451005180.5740.000
Line advertising62.08330.3951005157.3600.000
Inserted leaflets99.97830.5551005180.0700.000
Inserted samples75.44430.2171005348.1720.000
Public relations (PR) articles36.25830.730100549.6540.000
Organizing competitions75.99130.4071005186.8850.000
Providing prizes to competitions94.99830.4761005199.4820.000
TelephonePassive telemarketing60.29630.2941005205.4190.000
Active telemarketing58.98830.4371005135.0000.000
Sales over the phone48.47730.4821005100.5530.000
Organizing competitions44.49330.2171005204.7160.000
MobileMobile advertising81.69030.2831005288.4760.000
Bluetooth marketing59.69130.05010051204.5290.000
Banners in applications 69.94530.3111005225.0940.000
Mobile apps81.22330.3311005245.4840.000
Geolocalisation59.76430.1351005442.5720.000
Sending short message service (SMS) to customers61.56930.5991005102.8100.000
Sending multimedia messaging service (MMS) to customers72.36130.1971005366.7460.000
Passive telemarketing58.92130.2131005277.0300.000
Active telemarketing62.06330.3111005199.5280.000
InternetViral marketing90.41830.5221005173.1820.000
Discussion forums59.42530.651100591.2590.000
Contextual advertising98.31430.4511005217.8530.000
Website10.47130.399100526.2440.000
Sponsoring a discussion forum56.11230.2211005253.3990.000
Direct e-mail54.97630.713100577.0720.000
Banners53.36330.700100576.2200.000
Blogs65.20530.5581005116.9090.000
Vlogs50.36330.1561005323.3400.000
PPC advertising60.29430.4271005141.1280.000
Content marketing48.69730.4221005115.3950.000
Native advertising36.78430.2441005151.0190.000
Affiliate marketing60.88130.2031005299.9070.000
Search engine optimization (SEO)40.22630.572100570.2710.000
Facebook23.21330.624100537.2090.000
Instagram58.86130.647100590.9920.000
Youtube88.18830.5071005173.8320.000
Other social media61.70830.3531005174.5720.000
CinemaCinema advertising47.54030.1991005238.4070.000
Product placement44.52230.0871005511.0450.000
Film sponsorship36.05530.1331005270.2000.000
Other formsOrganizing events49.99630.760100565.7420.000
Co-organizing events63.60830.662100596.0470.000
Fairs and exhibitions22.79230.717100531.7730.000
Press conferences67.10930.3501005191.4990.000
Presentation events30.31830.751100540.3550.000
Guerrilla marketing53.01030.1111005475.8190.000
Buzz marketing, WOM44.94330.1211005370.3060.000
Note: Word of mouth (WOM) is oral communication in the context of a consumer’s behaviour, used to spread the reputation of the firm, product or service. It is a consumer’s personal recommendation or something that is discussed. Items essential in determining clusters are highlighted in bold. Source: Authors’ compilation.
Table
Table 5. ANOVA analysis of clusters vs. the majority owner of the company.
Table 5. ANOVA analysis of clusters vs. the majority owner of the company.
Sum of SquaresdfMean SquareFSig.
Between Groups3.20431.0687.5190.000
Within Groups142.74710050.142
Total145.9501008
Source: Authors’ compilation.
Table
Table 6. ANOVA analysis of clusters vs. the territorial scope of marketing communication programs.
Table 6. ANOVA analysis of clusters vs. the territorial scope of marketing communication programs.
Sum of SquaresdfMean SquareFSig.
Between Groups7.96832.6564.7540.003
Within Groups561.39810050.559
Total569.3661008
Source: Authors’ compilation.
Table
Table 7. ANOVA analysis of clusters vs. the use of an agency implementing the marketing communication program.
Table 7. ANOVA analysis of clusters vs. the use of an agency implementing the marketing communication program.
Sum of SquaresdfMean SquareFSig.
Between Groups8.62632.8753.6310.013
Within Groups795.93510050.792
Total804.5611008
Source: Authors’ compilation.
Table
Table 8. ANOVA analysis of clusters vs. creating a customer database.
Table 8. ANOVA analysis of clusters vs. creating a customer database.
Sum of SquaresdfMean SquareFSig.
Between Groups18.71236.23717.7630.000
Within Groups352.89010050.351
Total371.6021008
Source: Authors’ compilation.
Table
Table 9. ANOVA analysis of clusters vs. implemented customer relationship management (CRM) system.
Table 9. ANOVA analysis of clusters vs. implemented customer relationship management (CRM) system.
Sum of SquaresdfMean SquareFSig.
Between Groups10.23033.4106.4440.000
Within Groups531.78610050.529
Total542.0161008
Source: Authors’ compilation.
Table
Table 10. ANOVA analysis of clusters vs. enterprise size.
Table 10. ANOVA analysis of clusters vs. enterprise size.
Sum of SquaresdfMean SquareFSig.
Between Groups0.90330.3012.5280.056
Within Groups119.67210050.119
Total120.5751008
Source: Authors’ compilation.

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MDPI and ACS Style

Ližbetinová, L.; Štarchoň, P.; Lorincová, S.; Weberová, D.; Průša, P. Application of Cluster Analysis in Marketing Communications in Small and Medium-Sized Enterprises: An Empirical Study in the Slovak Republic. Sustainability 2019, 11, 2302. https://doi.org/10.3390/su11082302

AMA Style

Ližbetinová L, Štarchoň P, Lorincová S, Weberová D, Průša P. Application of Cluster Analysis in Marketing Communications in Small and Medium-Sized Enterprises: An Empirical Study in the Slovak Republic. Sustainability. 2019; 11(8):2302. https://doi.org/10.3390/su11082302

Chicago/Turabian Style

Ližbetinová, Lenka, Peter Štarchoň, Silvia Lorincová, Dagmar Weberová, and Petr Průša. 2019. "Application of Cluster Analysis in Marketing Communications in Small and Medium-Sized Enterprises: An Empirical Study in the Slovak Republic" Sustainability 11, no. 8: 2302. https://doi.org/10.3390/su11082302

APA Style

Ližbetinová, L., Štarchoň, P., Lorincová, S., Weberová, D., & Průša, P. (2019). Application of Cluster Analysis in Marketing Communications in Small and Medium-Sized Enterprises: An Empirical Study in the Slovak Republic. Sustainability, 11(8), 2302. https://doi.org/10.3390/su11082302

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