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Course of studies
Arbeitsschutz studieren
(2018)
Editorial
(2018)
Effects of Non-Driving Related Task Modalities on Takeover Performance in Highly Automated Driving
(2018)
It has been common for retail firms to simultaneously operate multiple channels.
However, customers are increasingly demanding a seamless shopping experience and
cross-channel strategies have gained in importance for retailers across industries. It has
become evident that successful integration of online and offline channels can increase
customer loyalty and ensure a retailer’s long-term profitability. Although opportunities
presented by cross-channel retailing are diverse, until today only few retail companies
have successfully implemented such a strategy, as they face firm- and customer-related
limits. Thus, the purpose of this bachelor thesis is to provide a general understanding of
the concept of cross-channel retailing and to examine how new technologies can link
retailers’ sales channels on the one hand, but also pose major challenges on the other.
A literature review using academic journals, trade publications and academic books
provides valuable insights on the changes in customer shopping behaviour due to the
prevalence of new technologies and the consequences for retailers. Furthermore,
opportunities and limits of cross-channel retailing are critically examined following a
customer-centric approach. Primary research is conducted to illustrate customers’
experience with Artificial Intelligence in the form of a chatbot implemented by an US
apparel retailer. The thinking aloud method is used to gain insights into participants’
thought processes and to analyse the chatbot’s potential to replicate the experience
offered in a physical store. Findings include that showrooms and emerging technologies
such as artificial intelligence, big data analytics and beacons may present an opportunity
for retailers in the apparel industry, while privacy concerns, technology acceptance,
demographics and firm-related challenges need to be taken into account.
This bachelor thesis explores the opportunities of Talent Scouting at ZF Friedrichshafen AG in terms of a cross-divisional internal talent management measure in line with future requirements and the frame of a CoE function. It deals with the definition of talent within the scope of Talent Scouting, ZF specific demands with regard to matching internal talents with key positions and the general framework that must exist in order for Talent Scouting to be successful.
The thesis is supported with primary and secondary research data. A theoretical framework is set up through a comprehensive literature review and used as a foundation for a qualitative data research approach. The literature review comprises the talent definition within the business scope, the frameworks of TM and a first look at Talent Scouting. Furthermore, relevant internal TM measures at ZF are examined. The research includes expert interviews conducted with ZF internal employees. The gained insights are then discussed and concluded into recommended actions for a Talent Scouting process at ZF.
Major findings include a new understanding of talent and the need for a transparent process to encourage and enforce internal mobility division-wide. Additionally, the requirement for an overall coherent TM strategy is accentuated. This is emphasized with demands for a cultural and organizational mindset change. Additionally, a talent life cycle is established and the concept of a Talent Conference is considered. Further topics discussed include the use of big data, staffing rules in placement processes and possibilities on increasing visibility of talents.
Finally, the thesis provides a brief outlook on the potential of people analytics and system-aided processes for HRM in the future.
Exactly - Once
(2018)