Browsing by Author "Sozen, Cenk"

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The Impacts of Friendship, Advice and Negative Ties on Intention To Leave: The Case of Nurses in A Special Branch Hospital
(2021) Sozen, Cenk; Samanci, Simge; Tokmak, Ismail; Turgut, Hakan; Basim, Nejat; https://orcid.org/0000-0002-0080-5285; GZA-5645-2022
OBJECTIVES The high turnover rate of nurses has been a matter of debate among scholars. Nurses' social interaction patterns and the social structure they are situated within may provide clues about possible causes of their high turnover intentions. This study aims to investigate the possible effects of negative and positive ties on the intention of turnover among nurses. DESIGN & SETTING A hybrid research methodology was used. Social network analysis was used to reveal the positions of the nurses (n = 126) in the positive and negative networks. A statistical model was formed with varying types of centrality measures, intragroup conflict, and intention to leave variables. The data was collected from all the nurses working in a special branch hospital. RESULTS AND CONCLUSION The findings of the study clearly indicate that negative interactions directly and indirectly affect the intention to leave, and the nurses demand professional support from their colleagues. The findings also show the existence of a fragmented social structure among nurses, which suggests the increased importance of brokerage roles. Managers should closely monitor the negative interactions among nurses, and they need to use conflict management techniques frequently to reduce hostile relations in the business environment. Managers should especially seek ways to increase altruistic tendencies among colleagues because nurses demand professional support ties more than friendship relations.
Introduction of a new method for retailing and marketing research: the case of shopping malls
(2020) Sozen, Cenk; Devrani, Tulay
Purpose The purpose of this study is to suggest an unusual method that may help researchers to examine from the real-time movements of consumers among stores located on any kind of shopping location. We assumed shopping behavior of individuals as a complicated network representing their interactions with multiple types of stores - brands. Shopping malls were chosen to test this alternative method. Closely located stores in these organizations give researchers a chance to investigate patterns of interactions of customers in relation to brands. Therefore, we decided to develop an unusual method to examine customers' behavior in these organizations. Design/methodology/approach This study suggests that circulation patterns of customers in a shopping location may provide valuable information to decision makers. The applicability of this technique was tested on 700 consumers visiting stores of a supper-regional shopping mall, located in Ankara, Turkey. Paths of the customers in a specific type of mall were determined, and their interactions with the stores were analyzed by using social network analysis techniques. The brands having key positions in the network were compared with the brand configuration of high- and low-performer malls serving to similar markets. Findings The results of the network analyses were used to understand whether this method could be beneficial for the ideal tenant mix problem of shopping malls. Findings suggest that the performance of malls depends on fitness to customer paths, and the malls, which didn't have the key brands at the initial stage, could not adapt themselves later. Findings of the case study verified that this technique might offer a solution to this well-known dilemma of the retailing sector and may have several implications. Originality/value These types of data are very valuable, especially for retailing research and the industry, because very critical knowledge such as traffic among retail stores, key central brands, ideal location of stores, consumption tendencies of different customer groups and symbiotic or competitive relations among retailers can be obtained. This method may also have broad implications in other fields of research such as location analysis, decision support systems and property management as well as marketing and retailing.
The town of bent necks: interorganizational causes and consequences of relational rivalry
(2021) Sozen, Cenk
Purpose This study aims at developing a conceptual framework for the networking behaviour of firms having relational and non-relational competitive interactions. Initially the question of how negative ties change the meaning of competition for the rival firms was discussed and then how these types of interactions can change possible networking preferences of organizations were theoretically estimated. Design/methodology/approach This study suggests that relational rivalry is closely linked with negative ties and even the emergence of strong positive ties among firms is viewed as a consequence of dyadic negative interactions. Different types of competitive conditions were classified under non-relational and relational categories. Findings Not applicable. Originality/value A majority of the studies on interorganizational networks are mostly concerned with positive tie formation patterns and the consequences of these interactions. However, there is limited number of macro-level studies, which realized explanatory potential of the negative interfirm relations. Negative interorganizational relations may also make significant contributions to the discipline of economic sociology.