Technological progress can disrupt domains and change the way we work and collaborate. This paper presents a qualitative study with 52 German farmers that investigates the impact of the ongoing digitalization process in agriculture and discusses the implications for privacy research. As in other domains, the introduction of digital tools and services leads to the data itself becoming a resource. Sharing this data with products along the supply chain is favored by retailers and consumers, who benefit from traceability through transparency. However, transparency can pose a privacy risk. Having insight into the business data of others along the supply chain provides an advantage in terms of market position. This is particularly true in agriculture, where there is already a significant imbalance of power between actors. A multitude of small and medium-sized farming businesses are opposed by large upstream and downstream players that drive technological innovation. Further weakening the market position of farmers could lead to severe consequences for the entire sector. We found that on the one hand, privacy behaviors are affected by adoption of digitalization, and on the other hand, privacy itself influences adoption of digital tools. Our study sheds light on the emerging challenges for farmers and the role of privacy in the process of digitalization in agriculture.

The Internet of Things (IoT) is a major trend that is seen as a great opportunity to improve efficiency in many domains, including agriculture. This technology could transform the sector, improving the management and quality of agricultural operations, for example, crop farming. The most promising data transmission standard for this domain seems to be Long Range Wide Area Network (LoRaWAN), a popular representative of low power wide area network technologies today. LoRaWAN, like any wireless protocol, has properties that can be exploited by attackers, which has been a topic of multiple research papers in recent years. By conducting a systematic literature review, we build a recent list of attacks, as well as collect mitigation options. Taking a look at a concrete use case (IoT in agriculture) allows us to evaluate the practicality of both exploiting the vulnerabilities and implementing the countermeasures. We detected 16 attacks that we grouped into six attack types. Along with the attacks, we collect countermeasures for attack mitigation. Developers can use our findings to minimize the risks when developing applications based on LoRaWAN. These mostly theoretical security recommendations should encourage future works to evaluate the mitigations in practice.

Concise instruments to determine privacy personas – typical privacy-related user groups – are not available at present. Consequently, we aimed to identify them on a privacy knowledge–privacy behavior ratio based on a self-developed instrument. To achieve this, we conducted an item analysis (N = 820) and a confirmatory factor analysis (CFA) (N = 656) of data based on an online study with German participants. Starting with 81 items, we reduced those to an eleven-item questionnaire with the two scales privacy knowledge and privacy behavior. A subsequent cluster analysis (N = 656) revealed three distinct user groups: (1) Fundamentalists scoring high in privacy knowledge and behavior, (2) Pragmatists scoring average in privacy knowledge and behavior and (3) Unconcerned scoring low in privacy knowledge and behavior. In a closer inspection of the questionnaire, the CFAs supported the model with a close global fit based on RMSEA in a training and to a lesser extent in a cross-validation sample. Deficient local fit as well as validity and reliability coefficients well below generally accepted thresholds, however, revealed that the questionnaire in its current form cannot be considered a suitable measurement instrument for determining privacy personas. The results are discussed in terms of related persona conceptualizations, the importance of a methodologically sound investigation of corresponding privacy dimensions and our lessons learned.

Agriculture is subject to high demands regarding resilience as it is an essential component of the food production chain. In the agricultural sector, there is an increasing usage of digital tools that rely on communication and energy infrastructures. Should disruption occur, such strengthened dependencies on other infrastructures increase the probability of ripple effects. Thus, there is a need to analyze the resilience of the agricultural sector with a specific focus on the effects of digitalization. This study works out resilience capacities of the interconnected technologies used in farm systems based on the experiences and opinions of farmers. Information was gathered through focus group interviews with farmers (N = 52) and a survey with participants from the agricultural sector (N = 118). In particular, the focus is put on the digital tools and other information and communication technologies they use. Based on a definition of resilience capacities, we evaluate resilience regarding energy and communication demands in various types of farm systems. Especially important are the resilience aspects of modern systems’ digital communication as well as the poorly developed and nonresilient network infrastructure in rural areas that contrast with the claim for a resilient agriculture. The result is a low robustness capacity, as our analysis concludes with the risk of food production losses.

Since 2015, an increased number of asylum seekers is coming to Europe. These migration movements increasingly rely on digital infrastructure, such as mobile internet access and online services, in order to reach their targeted destination countries. Asylum seekers often use smartphones for information and communication purposes. Even though there are many positive aspects in the use of such technologies, researchers have to consider the perceived risks of this specific user group. This work aims at investigating the use of mobile information technologies by asylum seekers during their flight, especially taking privacy into account. Thus, it examines asylum seekers' digital privacy perceptions and identifies privacy protection behaviors by conducting a qualitative interview study with 14 asylum seekers who applied for asylum in Germany. The results show that asylum seekers are often aware of the various risks deriving from the use of smartphones and ICT, such as surveillance and persecution by state or non-state actors as well as extortion by criminals. Based on this, this work furthermore outlines different strategies used to manage these risks. Since the lack of privacy and trust leads to avoidance behavior, the insights of this study provide valuable information for the design of assistance apps and collaboration platforms, which appropriately address the specific needs for digital privacy in the context of flight, or for the conception of privacy-enhancing technologies helping to achieve this.