Blockchain Technology Adoption among Consumers: An Analysis of Usage Intention and Application Usefulness

Dennis Henning, Technische Universität München (Masterarbeit)
Junior Management Science 8(3), 2023, 798-826

Blockchain technology research has mainly been focused on general usage intention, mostly examined the organizational perspective, and lacked a differentiated view at specific blockchain applications from the consumer perspective. To foster adoption of blockchain technology, consumer perception of blockchain technology needs further understanding. Building on recent technology adoption literature and employing a representative survey for Germany, we identified context dependent predictors and moderators of blockchain technology usage intention. Results show that drivers of usage intention depend on consumers’ age, gender, experience, and cryptocurrency possession. Findings guide practitioners by shedding light on blockchain adoption and usefulness of specific blockchain applications. Moreover, results indicate that blockchain adoption research should be more granular and differentiate between applications and contexts. Our identified specific blockchain applications provide a basis for future research.

Keywords: Blockchain technology; Technology adoption; UTAUT; Usage intention.

Eine datenschutzrechtliche Betrachtung der neuen elektronischen Patientenakten in Deutschland nach Einführung der DSGVO

Samuel Hammer, FOM Hochschule für Oekonomie und Management (Bachelorarbeit)
Junior Management Science 7(5), 2022, 1301-1325

Einer langwierigen Diskussion um die Digitalisierung und Modernisierung des deutschen Gesundheitssystems folgt 2021 die Verpflichtung der gesetzlichen Krankenkassen zur Einführung der elektronischen Patientenakte (ePA). Diese Regelung stößt bei Deutschlands oberster Datenschutzbehörde (BfDI) auf Widerstand. Anhand einschlägiger Kommentarliteratur und unter Berücksichtigung der durch die Interessenvertreter vorgebrachten Argumente untersucht diese Arbeit, ob die Kritik der Behörde begründet ist und ob ein Verstoß gegen die DSGVO mit der Einführung der ePA vorliegen könnte. Im Ergebnis lässt sich ein solcher Verstoß nicht feststellen. Insbesondere liegen die grundsätzlichen Anforderungen an die Wirksamkeit einer Einwilligung in die Datenverarbeitung vor. Die Einführung der ePA erfolgt in zwei Ausbaustufen, wobei die zweite Stufe datenschutzrechtlich relevante Verbesserungen beinhaltet. Daher gilt das Ergebnis der Arbeit „a maiore ad minus“ auch für die 2022 geplante zweite Ausbaustufe. Offen bleibt, ob die Datenschutzbehörde (BfDI) weitere rechtliche Maßnahmen ergreifen wird. Die Untersuchung berührt weitere Forschungsthemen, wie beispielsweise das „Recht auf Datenverarbeitung“ oder die Rolle der Datenschutzbehörden in Gesetzgebungsverfahren.

Keywords: Elektronische Patientenakte; ePA; DSGVO; Datenschutz; Telematikinfrastruktur.

DOI: https://doi.org/10.5282/jums/v7i5pp1301-1325

Big Data Analytics Capabilities: A Systematic Literature Review on Necessary Skills to Succeed in Big Data Analytics

Marc A. Richly, Ludwig-Maximilians-Universität München (Masterarbeit)
Junior Management Science 7(5), 2022, 1224-1241

While the amount of data keeps growing, managers ask themselves whether they already retrieve full value from their data. To maximize the value of big data, literature offers first insights in building BDA capabilities (Gupta and George 2016, p; Mikalef et al. 2018). Nevertheless, BDA remains a new field to researchers and companies. BDA frameworks, still offered scarcely, discuss roughly the same dimensions (incorporating some technical, human, and cultural aspects), but are only superficially discussed. This thesis builds a framework of the different approaches offered in literature. Furthermore, it is important to distinguish whether a new development as BDA can be seen as a trend topic or rather a long-lasting game changer for businesses. Here, this thesis discusses differences among digital capabilities, IT capabilities, that research stared addressing by 1990, and BDA capabilities. A major finding is that building IT capabilities is considered as an isolated responsibility of IT departments by, i.e., offering IT infrastructure to the whole company. BDA capabilities, on the contrary, cannot be planned and rolled out from one specific department – those need to be developed in every organizational unit; therefore, a data-driven culture is a key element in building BDA capabilities.

Keywords: Big data analytics; Big data; Data analytics; Dynamic capabilities; Resource-based view.

DOI: https://doi.org/10.5282/jums/v7i5pp1224-1241

One User – Two Viewpoints? An Examination of Information Privacy Concerns from the Employee and Consumer Perspective

Marco Wall, Ludwig-Maximilians-Universität München (Bachelorarbeit)
Junior Management Science 7(4), 2022, 986-1000

This study aims to answer two questions about the investigation of privacy concerns in the use of video call applications: Firstly, it aims to find out how privacy concerns of users of these technologies differ in the work context from the private context. Secondly, this paper wants to discover the underlying cause for these differing concerns. To answer these questions, focus group interviews were conducted with users who use video call applications in both the business and personal contexts. The results of the qualitative research were presented visually using a thematic map. Users expressed great privacy concerns regarding the control of sensitive data. In addition, work behaviour and employment relationships are becoming more transparent, which raises more concerns. Employees in particular try to protect private, confidential data at work. This paper presents one of the first exploratory findings in the field of privacy research in the workplace.

Keywords: Information privacy; privacy concerns; online privacy; video call applications; workplace privacy.

Factors Influencing Developers’ Acceptance of Native Development Environments: An Expansion of the Technology Acceptance Model

Nadja Ganter, ESB Business School Reutlingen (Bachelorarbeit)
Junior Management Science 6(4), 2021, 745-756

Keywords: Native development environment; third-party develope; mobile app development; technology acceptance.

Mobile App Service Quality Dimensions and Requirements for Mobile Shopping Companion Apps

Tobias Wulfert, Westphalian Wilhelms-University Münster (Masterarbeit)
Junior Management Science 4(3), 2019, 339-391

The increasing utilization of mobile apps for shopping leads retailers to provide customers with dedicated mobile shopping companion apps to create an omni-channel shopping experience involving traditional brick-and-mortar, electronic and mobile business. Mobile shopping companion apps extend the traditional and electronic services of brick-and-mortar retailers by an additional mobile channel providing the customer with a digital companion supporting the shopping within and outside the stores using mobile technology. A twofold approach is pursued in this thesis. Firstly, a structured literature review is conducted to identify candidate dimensions for developing a scale for measuring the service quality of mobile shopping companion apps. Secondly, design requirements for improving the service quality ofthese mobile apps are deduced from online customer reviews of three exemplary mobile shopping companion apps applying a qualitative content analysis. The mobile app service quality of mobile shopping companion apps can be measured using a hierarchical and multi-dimensional scale consisting of three primary dimensions, seven secondary dimensions and 22 related items. The primary dimensions interaction quality, environment quality and outcome quality structure the secondary dimensions responsiveness, information, security and privacy, design, performance, technical reliability and valence. Based on these dimensions, 22 implementation guidelines and 14 service design requirements are derived as potential areas for optimizing the mobile app service quality of mobile shopping companion apps and achieving a high overall service quality. A mobile shopping companion app should include a set of features consisting of 16 features from three different areas. Results show that measuring the service quality of mobile shopping companion apps require for a tailored measurement scale. Equally, design requirements are proposed for this particular category of mobile apps. Retailers should provide a single mobile shopping companion app providing all features and mobile services to the customer.

Keywords: mobile service; mobile commerce; shopping companion; service quality.

Extending Kolkata Paise Restaurant Problem to Dynamic Matching in Mobility Markets

Layla Martin, Technische Universität München (Masterarbeit)
Junior Management Science 4(1), 2019, 1-34

In mobility markets – especially vehicle for hire markets – drivers offer individual transportation by car to customers. Drivers individually decide where to go to pick up customers to increase their own utilization (probability of carrying a customer) and utility (profit). The utility drivers retrieve from customers comprises both costs of driving to another location and the revenue from carrying a customer and is thus not shared between different drivers. In this thesis, I present the Vehicle for Hire Problem (VFHP) as a generalization of the Kolkata Paise Restaurant Problem (KPRP) to evaluate different strategies for drivers in vehicle for hire markets. The KPRP is a multi-round game model presented by Chakrabarti et al. (2009) in which daily laborers constitute agents and restaurants constitute resources. All agents decide simultaneously, but independently where to eat. Every restaurant can cater only one agent and agents cannot divert to other resources if their first choice is overcrowded. The number of agents equals the number of resources. Also, there is a ranking of restaurants all agents agree upon, and no two resources yield the same utility. The VFHP relaxes assumptions on capacity and utility: Resources (customers) are grouped in districts, agents (drivers) can redirect to other resources in the same district. As the distance between agent and resource reduces the agent’s utility and the location is not identical for all agents, the utility of a given resource is not identical for all agents. To study the impact of the different assumptions, I build four different model variants: Individual Preferences (IP) replaces the shared utility of the KPRP with uniformly distributed utilities per agent. The Mixed Preferences (MP) model variant uses the utility assumption of the VFHP, but the capacity of all districts remains 1. The Individual Preferences with Multiple Customers per District (IPMC) model variant groups customers in districts, and uses the uniform utilities introduced in the IP model variant. Mixed Preferences and Multiple Customers per District (MPMC) implements all assumptions of the VHFP. In this thesis, I study different strategies for the KPRP and all variants of the VFHP to build a foundation for an incentive scheme for dynamic matching in mobility markets. The strategies comprise history-dependent and utility-dependent strategies. In history-dependent strategies, agents incorporate their previous decisions and the utilization of resources in previous iterations in their decision. Agents adapting utility-dependent strategies choose the resource offering the highest utility with a given probability.

Keywords: vehicle for hire markets; distributed decision making; agent-based modelling; congestion game; limited rationality.