No abstract

Purpose The purpose of this paper is to test what kind of value co-creation-related organizational capabilities may be applied in the specific context of the post-communist business-to-customer service industry in Poland and how these capabilities translate into service innovation success. Design/methodology/approach The research model with control variables was hypothesized in regard to the customer co-creation and specific institutional setting in post-communist Poland. The model was tested using survey data from Polish companies in the service sector. The variable indicators for customer co-creation capability were developed through a series of in-depth interviews with managers. Findings First, a service company’s organizational processes that leverage customer communication and enable this communication to be transformed as input into service innovations are distinct components that build complex customer co-creation dynamic capability. Second, customer co-creation capability by service firms positively and strongly influences firms’ innovation success, whereas this link is stronger in the cases of larger service companies. Originality/value This paper introduces the concept of “customer co-creation capability” and evaluates its implications in the specific context of Poland, a Central European market that transformed from a closed communist economy to an open, market-driven economy. A rich but dramatically changing history and culture present a unique opportunity to observe the changes in customer behavior, evaluated from the organizational point of view. For example, it presents how these unique customer features may be used by services companies to leverage their innovations.

No abstract

No abstract

The aim of this article is to create a customer typology on the travel market in the Czech Republic according to what way of travelling abroad consumers prefer. Quantitative research was used for conducting primary data, which were obtained through an online questionnaire survey in February 2022. The researched population consisted of residents of the Czech Republic, who are over 15 years old and travel abroad on holiday at least once a year (before Covid-19 pandemics). A total of 579 respondents completed the survey, from which 399 respondents travel abroad on holiday, remaining 180 interviewed people were excluded from the research as they do not travel abroad. All data were analysed using IBM SPSS Statistics program. Respondents expressed their agreement with a total of 14 statements depending on if they prefer individual or organised way of travelling abroad on holiday. Based on how they evaluated these statements they were divided into several segments, according to their common characteristics, using factor and cluster analysis. Four segments were defined for individual travel market: “Trendy travellers“, „Adventurers“, „Easy- going travellers“ and „Open-minded travellers“ and also four segments for the organised travel market: “Influenceable travellers“, „Indifferent travellers“, „Conservative travellers“ and „Loyal travellers“.

Although the Science of Team Science or SciTS has already provided substantial evidence for research collaboration positive links to scientific productivity, much less is known about such links with broadly defined academic networking, especially with regard to the dilemma about forms of academic networking that may help individual scholars in handling risks and dynamics inherent in academic connections. This study uses cross-disciplinary theoretical insights to conceptualize “dynamic academic networking” as a distinct collaboration-related phenomenon that is theoretically linked with research productivity on the one hand, and with English language skills on the other, especially in the context of non-Anglophone academic systems. The study combines survey-based data and Scopus-based data to test two main hypothesized connections while controlling for the potential effects of other factors, e.g. home faculty research connections and faculty-industry professional connections. The research results provide support for the structural model which is also interpreted in terms of dynamic networking being valid concept in relation to further development of SciTS.

Příspěvek se zabývá problematikou politického marketingu. Hledá nejvhodnější segmentační kritéria používaná pro klasifikaci voličů. Pro segmentaci voličské základny se často využívají preference politických stran a z toho plynoucí ideologické postoje (levicový, pravicový) a demografické proměnné jako je věk, vzdělání a sociální status. Komunální volby na rozdíl od parlamentních voleb oslabují ideologické pojetí a zdůrazňují témata, která ovlivňují každodenní a bezprostřední život občanů. Příspěvek tedy zkoumá, zda se dají najít skupiny témat, která profilují jednotlivé typy voličů. Respondentům (potenciálním voličům) byla předložena sada tvrzení, která posuzovali na sedmibodové škále. Pomocí faktorové a shlukové analýzy je možné sestavit typologii voličů pro komunální volby. Zároveň lze zkoumat, jaký je vztah definovaných typů voličů k politickým stranám a jaký je jejich demografický profil. Příspěvek se opírá o data dvou primárních reprezentativních výběrových šetření, která proběhla před komunálními volbami v Ostravě (2006) a Havířově (2010). V obou případech byla data shromážděna prostřednictvím osobního dotazování a velikost výběrových souborů u každého šetření přesáhla 500 respondentů.