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Sprachassistenten gewinnen als Alltagshelfer immer mehr an Bedeutung. Sie beeinflussen die Art und Weise, wie Menschen Aufgaben erledigen und mit Unternehmen interagieren. Eine qualitative Studie hat die Nutzungsbereitschaft beim Kauf von High-Involvement-Produkten über Sprachassistenten untersucht. Zukünftig könnte Voice Commerce für diese Produkte an Relevanz gewinnen.
Die Gewinnung und Bindung qualifizierter MINT-Mitarbeitender (Mathematik, Informatik, Naturwissenschaft und Technik) gehört zu den Herausforderungen des Personalmanagements, gerade in Bezug auf den weiblichen MINT-Nachwuchs. Spannend ist die Frage, ob Frauen Arbeitgebermerkmale anders gewichten als Männer und sich geschlechtsspezifische Präferenzen bei arbeitsplatzbezogenen Merkmalen auf den MINT-Kontext übertragen lassen. Eine empirische Untersuchung mit Studierenden technischer Studiengänge liefert Ansatzpunkte für die zielgruppenspezifische Gestaltung von Employer-Branding-Kampagnen und Rekrutierungsaktivitäten.
Sie sind es leid, Ihre wertvolle Arbeitszeit in endlosen Meetings zu verschwenden? Sie sind enttäuscht darüber, wie selten Meetingziele vollständig erreicht werden? Und es ist Ihnen bewusst, welche immensen Kosten Meetings verursachen?
Erleben Sie die Reise von Verkaufsleiter Frank, der sich mit seinem Team dem Meeting-Dilemma stellt und gemeinsam den größten Zeitfresser der Arbeitswelt besiegt. Begleiten Sie dieses innovative Unternehmen mit seinen Menschen und Charakteren, die auf ihrem Web zu einer optimierten Meetingkultur zahlreiche Herausforderungen meistern. Lassen Sie sich davon mitreißen und anregen, Ihren eigenen persönlichen Weg in Ihrer Praxis zu finden, so dass Ihre Meetings zum Motor für produktive Zusammenarbeit in Ihrer Organisation werden.
Hybrides Arbeiten in digitalen Prozessen sollte eigentlich sehr gut funktionieren. Durch die Digitalisierung werden Schnittstellen zwischen Abteilungen und Funktionen standardisiert sowie Abläufe durch Workflow-Systeme vorgegeben und ganz oder teilweise automatisiert. Es werden Aufgaben eindeutig zugewiesen, Datenverluste verhindert und Abweichungen vermieden. Die Nachteile der häufig noch etablierten tayloristischen, funktionsorientierten Silo-Aufbauorganisation in administrativen Bereichen werden dadurch ebenso kompensiert wie die räumliche Trennung der beteiligten Personen in einer hybriden Arbeitswelt.
Digitalisierung in Corporate Mergers & Acquisitions (M&A)-Prozessen birgt ein erhebliches Potenzial zur Effizienz- und Effektivitätssteigerung, erfährt jedoch bislang in der betrieblichen Praxis nur eine geringe Aufmerksamkeit. Dieser Beitrag schlägt angesichts dessen ein Reifegradmodell vor, womit sich der Ist-Stand der digitalen Reife eines Unternehmens bei Corporate M&A ermitteln und darauf aufbauend Optimierungspotenziale identifizieren lassen. Grundlage der Modellerstellung sind einerseits eine Analyse der vorhandenen Reifegradmodelle und andererseits Interviews mit M&A-Experten unterschiedlicher Unternehmen.
This study examines the underexplored areas of customer success management, focusing on the impact of leadership and companywide collaboration, and the role of customer success in overall firm performance. A qualitative research approach was utilized, which involved reviewing relevant literature and conducting an interview with the Vice President of Customer Success Management in B2B at a case company. Findings revealed that both leadership and pervasive collaboration greatly enhance the customer journey experience. Given that 75% of Annual Recurring Revenue is derived from existing customers, the substantial role of customer success in propelling business growth is affirmed. The study also demonstrated the importance of proactive customer engagement, assimilating customer feedback into products and services, and nurturing personal relationships with customers for fostering innovation. It further stressed the need for service provision and decision-making at various levels, as well as the implementation of a range of communication channels, to ensure customer success.
This study examines the phenomenon of Virtual Influencer (VI) marketing and its impact on customer purchase behavior. The aim is to understand the scope and impact of VI marketing. The study compares VI marketing to traditional Human Influencer (HI) marketing and identifies the unique benefits and challenges associated with VIs. A survey was conducted to gain insight into consumer attitudes and behaviors toward VIs. Key findings reveal varying levels of trust and acceptance of VIs among consumers. While some participants expressed openness to buying products promoted by VIs, others had reservations about their authenticity. The study also explores the potential role of VIs in the metaverse, highlighting business opportunities and challenges in this evolving digital landscape. Overall, this research sheds light on the growing influence of VIs and the need for further research in the field of marketing.
Purpose – This paper explores, which employer attractiveness attributes Generation Z (Gen Z) talents prioritize. Comparing the findings for female and male participants, this study examines whether gender-specific work value orientations prevail among Gen Z talents and impact their expectations toward employers.
Design/methodology/approach – A survey was conducted among 308 students of business, economics and management in Germany. Data were collected using the employer attractiveness scale of Berthon and colleagues (2005) complemented by an additional dimension focusing on work–life balance.
Findings – Findings indicate that Gen Z talents primarily expect a fun work environment, a positive team atmosphere and supportive relations with colleagues and superiors. Application aspects and work–life balance enabling services are expected the least. Expectations of four of the six attributes measured differ significantly among women and men, indicating that traditional gender assumptions continue to be reflected in the work value orientations of Gen Z talents.
Research limitations/implications – The sample was limited to business, economics and management students in Germany. Additional research should include a wider variety of respondents of different disciplines and countries.
Practical implications – Practical implications refer to emphasizing the social value of employment in the employee value proposition and customizing employer branding activities by gender.
Originality/value – This study contributes to the literature by empirically determining which employer attractiveness attributes Gen Z talents expect and whether and how these expectations vary by gender.
Purpose
Digital transformation of organizations has major implications for required skills and competencies of the workforce, both as a prerequisite for implementation, and, as a consequence of the transformation. The purpose of this study is to analyze required skills and competencies for digital transformation using the context of robotic process automation (RPA) as an example.
Design/methodology/approach
This study is based on an explorative, thematic coding analysis of 119 job advertisements related to RPA. The data was collected from major online job platforms, qualitatively coded and subsequently analyzed quantitatively.
Findings
The research highlights the general importance of specific skills and competencies for digital transformation and shows a gap between available skills and required skills. Moreover, it is concluded that reskilling the existing workforce might be difficult. Many emerging positions can be found in the consulting sector, which raises questions about the permanent vs temporary nature of the requirements, as well as the difficulty of acquiring the required knowledge.
Originality/value
This paper contributes to knowledge by providing new empirical findings and a novel perspective to the ongoing discussion of digital skills, employment effects and reskilling demands of the existing workforce owing to recent technological developments and automation in the overall context of digital transformation.
Artificial intelligence (AI) is one of the most promising technologies of the post-pandemic era. Cloud computing technology can simplify the process of developing AI applications by offering a variety of services, including ready-to-use tools to train machine learning (ML) algorithms. However, comparing the vast amount of services offered by different providers and selecting a suitable cloud service can be a major challenge for many firms. Also in academia, suitable criteria to evaluate this type of service remain largely unclear. Therefore, the overall aim of this work has been to develop a framework to evaluate cloud-based ML services. We use Design Science Research as our methodology and conduct a hermeneutic literature review, a vendor analysis, as well as, expert interviews. Based on our research, we present a novel framework for the evaluation of cloud-based ML services consisting of six categories and 22 criteria that are operationalized with the help of various metrics. We believe that our results will help organizations by providing specific guidance on how to compare and select service providers from the vast amount of potential suppliers.