Dubravka Sinčić Ćorić, Ivan-Damir Anić, Sunčana Piri Rajh, Edo Rajh and Nataša Kurnoga
This paper aims to explore buying decision factors and approaches of companies operating in manufacturing industry in Croatia.
Abstract
Purpose
This paper aims to explore buying decision factors and approaches of companies operating in manufacturing industry in Croatia.
Design/methodology/approach
The data collected by company survey were analysed using exploratory and confirmatory factor analyses, cluster analysis and cross-tabulation analysis.
Findings
Results show that manufacturers are influenced by six distinctive factors when making purchasing decisions. These are supplier’s flexibility, supplier’s reliability, interdepartmental communication, top management support, routine purchases and buyer’s price sensitivity. Manufacturers can be classified in four different groups according to their buying decision-making patterns.
Practical implications
This paper provides a set of factors and approaches which might help selling companies and sales representatives understand the purchasing practices of buying company better, and develop adaptive selling approaches accordingly.
Originality/value
Based on a literature review and field research, an instrument of organizational buying behaviour was developed and tested in the Croatian manufacturing industry. The factors of organizational buying behaviour patterns were identified, and the typology of buying decision approaches applicable for manufacturing industry was developed.
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Tanja Kesic´ and Suncana Piri‐Rajh
This paper explores the existence of different food‐related lifestyle segments in the Republic of Croatia. Using international instruments and a cluster analysis (joining‐tree…
Abstract
This paper explores the existence of different food‐related lifestyle segments in the Republic of Croatia. Using international instruments and a cluster analysis (joining‐tree clustering), five different segments were found which differ in buying motives, quality aspects of the food, buying decisions, cooking methods and consumption situations. They also differ in socio‐demographic characteristics. These segments, making up the following percentage of the population, were named: relaxed – 13 percent, traditionalists – 27 percent, modern – 32 percent, concerned –11 percent and hedonists – 17 percent. The names were determined by the main statements more frequently used by the families who belong to the respective segments. These segments are expected to change in the future, in size and in the characteristics of behaviour concerning food‐related lifestyles. Therefore, we plan to repeat the research in the year 2004. At the same time, we would like to compare these segments with those distinguished in developed European countries that have conducted similar research.
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Ivan-Damir Anić, Suncana Piri Rajh and Edo Rajh
This study aims to examine the impacts of demographic variables (gender, age, income, education) and food product involvement (FPI) on food-related consumer decision-making styles…
Abstract
Purpose
This study aims to examine the impacts of demographic variables (gender, age, income, education) and food product involvement (FPI) on food-related consumer decision-making styles (CDMS).
Design/methodology/approach
Original Sproles and Kendall's CSI instrument (1986) was applied in the food-product context. Data were collected using consumer phone survey. Eight separate regression analyses were conducted to test hypotheses. In each model independent variables were socio-demographic variables and FPI, while dependent variables were eight food-related CDMS.
Findings
Regression analyses indicate that each of food-related CDMS are affected by different antecedent variables. Perfectionism, high-quality consciousness was affected by gender, age, income and FPI; Brand consciousness by age, income and FPI; Novelty consciousness by FPI; Recreational, hedonistic shopping consciousness by gender, age and FPI; Price consciousness by age, education and income; Impulsiveness by age, education and income; Confusion by overchoice by education and FPI, and Brand loyalty by education, income and FPI.
Originality/value
The study applies modified Sproles and Kendall's CSI instrument (1986) in the food product context. The present study also provides a more definitive conclusion about the relationships between demographics, FPI and food-related CDMS. The analysis determined how demographics and FPI affect food-related CDMS.