Volume 54 (2018): Edition 1 (March 2018)

Despite a consensus view in the literature about the importance of cross-functional collaboration (CFC) for corporate environmental performance improvement, there is a dearth of studies that explain how exactly sustainability-oriented CFC can foster this objective. The purpose of this paper is to explain the role of CFC in corporate environmental performance improvement. We do this by undertaking two rounds of literature review, developing a proposition after the first round and by collecting illuminative real-life examples that illustrate our arguments in the second round. We propose and illustrate that CFC can effectively address two systemic properties of corporate environmental performance: trade-offs and interdependencies among different aspects of corporate environmental sustainability. If left unaddressed, these systemic specifics would result in organizational, managerial, and behavioral outcomes, such as inertia, opposition to change, lack of information, and so on, which would turn into effective barriers to corporate environmental performance improvement. put CFC addresses these barriers through information sharing, knowledge building, and interest reconciliation.

The purpose of this study is to examine the impact of leaders’ power bases and styles of handling conflict on subordinate behavioral and attitudinal compliance. Convenience sampling was used, and 353 information technology (IT) professionals in Turkey participated in the survey. The outcomes revealed that leaders’ cooperative and dominating conflict management styles (CMSs), “expert and referent power”, and legitimate power positively influence subordinates’ behavioral compliance. In addition, “expert and referent power” and legitimate power positively affect attitudinal compliance, while avoiding and dominating CMSs negatively influence it. Overall, the results partially support the influence of leader power bases and styles of handling conflict on subordinate compliance. This study contributes to the literature by investigating the listed variables with a sample of IT professionals employed in various industries in Turkey. Organizations can utilize the study results to increase leadership effectiveness and to deliver better management of IT human capital.

Objective: This paper investigates the explicit and implicit factors affecting private-label (PL) products’ possible purchase decision for different retailers. Design: The study uses eyetracking and electroencephalography (EEG) to explore the differences in eye movement and brain activity for PL products. This article examines how approach motivation, measured by total fixation duration and by EEG asymmetry over the frontal hemisphere of the brain, predicts PL purchase decision. Findings: This study investigates implicit variables that can influence consumers’ willingness to PL purchase. The relatively greater left frontal activation (i.e., higher approach motivation) during the predecision period predicted an affirmative purchase decision in some cases. The eyetracking study did not reveal differences between women’s and men’s esthetics sensitivity toward the presented PL products. EEG research proved that consumers were not influenced by the PL product price. Originality/value: Literature lacks credible information on young buyers’ behavior in the context of PL products. This paper elaborates on PL perception, revealing the neural origins of the associated psychological processes.

This paper focuses on cybersecurity knowledge, claiming that this knowledge may have a value of its own, and suggests a market mechanism to foster the creation of this kind of value. The goal is to elaborate the value of cybersecurity knowledge and propose a semantic approach with an example model to enable better handling of the relevant body of knowledge and its value. The problem of attributing value to cybersecurity should be perceived as analogous to that in information technology. We have examined the relevant body of knowledge with a focus on its characteristics from the viewpoint of different types of market players and their interests. By applying our model, it is possible to increase the accessibility of knowledge and observe externalities from sharing thereof.

Abstract: The paper consists of a discussion on the relevance of non-income drivers of welfare. This discussion is based on a subjective Bayesian reasoning, where welfare perceptions are subjectively rational decisions of individuals, who are, as author suggests, the ultimate decision-makers in respect of what welfare actually means for them. The objective of the paper is to investigate if income should be taken for granted as a sole driver of welfare. The conclusion is drawn from a methodological investigation of this question in a Bayesian concept of probability with a consideration for correlations among income and non-income drivers of welfare. It suggests that income should not be taken for granted as a sole driver of welfare since the non-income factors, which are not correlated with income, appear to be relevantly affecting individuals’ perceptions of welfare with Bayesian probability of almost 65%. Thereby, the paper is a reaffirmation of a need for further research in the area of welfare measures that might constitute an alternative to income-dominated indicators. Its value emanates from unambiguous answer in favour of the relevance of non-income drivers across welfare perceptions, which, without Bayesian reasoning, could remain unsolved at the point of 50% odds for relevance (irrelevance).

For many years, services attracted most of the foreign direct investment (FDI) in Central and Eastern European countries. Recently, a distinctive type of business services, i.e., advanced business services (ABS), has become the focal point in FDI in the region. This paper is aimed at defining the role of agglomeration economies in FDI in ABS in Poland. The topic is important from the policy point of view, as foreign investment is supported by the host country’s authorities, and various incentives are provided. The research method applied in this paper is the negative binomial regression. The outcome variable was the number of firms operating in ABS in particular regions. Explanatory variables pertain to the characteristics of 16 regions classified as Level 2 under the Nomenclature des Unités territoriales statistiques (Nomenclature of Territorial Units for Statistics or NUTS) in Poland. The main conclusion of the research is that agglomeration economies are important in the decision of the firms investing in ABS in Poland. The most important factor is the concentration of supply factors, such as abundance of educated employees. The specific features of ABS are associated with lower importance of demand factors in a region.