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- Fachgruppe Betriebswirtschaftslehre (278) (entfernen)
E-Mail tracking uses personalized links and pictures for gathering information on user behavior, for example, where, when, on what kind of device, and how often an e-mail has been read. This information can be very useful for marketing purposes. On the other hand, privacy and security requirements of customers could be violated by tracking. This paper examines how e-mail tracking works, how it can be detected automatically, and to what extent it is used in German e-commerce. We develop a detection model and software tool in order to collect and analyze more than 600 newsletter e-mails from companies of several different industries. The results show that the usage of e-mail tracking in Germany is prevalent but also varies depending on the industry.
Traditional production systems are enhanced by cyber-physical systems (CPS) and Internet of Things. A kind of next generation systems, those cyber-physical production systems (CPPS) are able to raise the level of autonomy of its production components. To find the optimal degree of autonomy in a given context, a research approach is formulated using a simulation concept. Based on requirements and assumptions, a cyber-physical market is modeled and qualitative hypotheses are formulated, which will be verified with the help of the CPPS of a hybrid simulation environment.
E-Mail Tracking
(2016)
E-mail advertisement, as one instrument in the marketing mix, allows companies to collect fine-grained behavioural data about individual users’ e-mail reading habits realised through sophisticated tracking mechanisms. Such tracking can be harmful for user privacy and security. This problem is especially severe since e-mail tracking techniques gather data without user consent. Striving to increase privacy and security in e-mail communication, the paper makes three contributions. First, a large database of newsletter e-mails is developed. This data facilitates investigating the prevalence of e- mail tracking among 300 global enterprises from Germany, the United Kingdom and the United States. Second, countermeasures are developed for automatically identifying and blocking e-mail tracking mechanisms without impeding the user experience. The approach consists of identifying important tracking descriptors and creating a neural network-based detection model. Last, the effectiveness of the proposed approach is established by means of empirical experimentation. The results suggest a classification accuracy of 99.99%.
In times of digitalization, the collection and modeling of business processes is still a challenge for companies. The demand for trustworthy process models that reflect the actual execution steps therefore increases. The respective kinds of processes significantly determine both, business process analysis and the conception of future target processes and they are the starting point for any kind of change initiatives. Existing approaches to model as-is processes, like process mining, are exclusively focused on reconstruction. Therefore, transactional protocols and limited data from a single application system are used. Heterogeneous application landscapes and business processes that are executed across multiple application systems, on the contrary, are one of the main challenges in process mining research. Using RFID technology is hence one approach to close the existing gap between different application systems. This paper focuses on methods for data collection from real world objects via RFID technology and possible combinations with application data (process mining) in order to realize a cross system mining approach.
The paper deals with the increasing growth of embedded systems and their role within structures similar to the Internet (Internet of Things) as those that provide calculating power and are more or less appropriate for analytical tasks. Faced with the example of a cyber-physical manufacturing system, a common objective function is developed with the intention to measure efficient task processing within analytical infrastructures. A first validation is realized on base of an expert panel.
To purchase or not?
(2017)
Although ecologically and socially responsible consumption helps to reduce the harmful effects of resource use for both nature and society, all types of consumption (whether green or fair) deplete valuable resources. At the same time, to maintain household financial sustainability, spending should not exceed a household's financial resources. Thus, economically sustainable consumption is related to the consumer's decision to not buy products and the disposition to forgo specific purchases. Based on a means-end chain approach, this study investigates consumer cognitive decision-making structures related to six distinct options for economically (non-)sustainable consumption. Whereas saving motives, waste concerns, and avoidance motivations support economically sustainable decisions, economically non-sustainable decision-making is directly linked to attaining overall life goals. By clustering respondents based on the elicited means-end chains, the study discloses four consumer groups with distinctive motivational structures. The study also reveals several obstacles to promoting economic sustainability, indicates methods to overcome such obstacles, and suggests avenues for future research.
Purpose - This study aims to investigate whether a team of females negotiates differently than a team of males, and whether (workplace) friendship moderates the relationship between single-gender team composition and negotiation outcomes. Design/methodology/approach - The authors used two laboratory studies and paired 216 MBA students into single-gender teams of friends and non-friends, and then engaged them in several dyadic multi-issue negotiations. Findings - The results show that on average, male teams of non-friends reached significantly better outcomes than female teams of non-friends. However, and interestingly, female teams of friends perform equally to male teams of friends. Research limitations/implications - The authors contribute both to the negotiations and the workplace friendship literature because very little research has examined negotiation among friends at work and in particular team negotiations. In addition, the authors also contribute to the literature on gender differences in negotiations because existing research has rarely examined the differences between all-male and all-female teams and especially the relationship between same-sex teams and their effects on negotiation outcomes. Practical implications - This research has clear implications to managers with regard to team composition. Specifically, a winning all-female team should not be changed! Originality/value - This is the first study to examine the relationship between workplace friendship, gender and negotiation outcomes.
Editorial
(2017)
Purpose - The purpose of this study is to analyze whether negotiators stick to one single negotiation style or whether their styles vary during the negotiation process. The paper seeks to identify different combinations of phase-specific negotiation styles and investigates the relationship between these combinations and negotiation performance and satisfaction. Design/methodology/approach - The study is based on a large online negotiation simulation that allows a phase-specific analysis of negotiation styles via an elaborate coding scheme. Findings - The findings reveal that negotiators generally do not limit themselves to a single negotiation style. Instead, they vary their style in the course of different negotiation phases. The authors distinguish between five distinct phase-specific negotiation style patterns that differ with regard to their impact on negotiation performance but not negotiation satisfaction. Practical implications - Negotiation practitioners get to know different phase-specific negotiation style patterns and get insights into which pattern is the most promising for negotiation performance. As a result, they can acquire this phase-specific negotiation style pattern to enhance their performance. Originality/value - The paper contributes to existing negotiation style literature, because it is the first to analyze negotiation styles from a phase-specific point of view.
Purpose:
The purpose of this paper is to examine the expectations, perceptions and role understanding of academic staff using a model of academic competencies (i.e. time management, learning skills, technology proficiency, self-monitoring and research skills).
Design/methodology/approach:
Semi-structured interviews were conducted with ten members of academic staff at a German university. Participants’ responses to the open-ended questions were coded inductively, while responses concerning the proposed model of academic competencies were coded deductively using a priori categories.
Findings:
Participating academic staff expected first-year students to be most competent in time management and in learning skills; they perceived students’ technology proficiency to be rather high but their research skills as low. Interviews indicated a mismatch between academic staff expectations and perceptions.
Practical implications:
These findings may enable universities to provide support services for first-year students to help them to adjust to the demands of higher education. They may also serve as a platform to discuss how academic staff can support students to develop the required academic competencies, as well as a broader conversation about higher education pedagogy and competency assessment.
Originality/value:
Little research has investigated the perspectives of academic staff concerning the academic competencies they expect of first-year students. Understanding their perspectives is crucial for improving the quality of institutions; their input into the design of effective support services is essential, as is a constructive dialogue to identify strategies to enhance student retention.