Success factors in the development of farm vacation tourism

Farm vacation tourism allows many families to fully use their domestic resources; furthermore it generates social benefits for the surrounding community. We have conducted a study to examine the success factors of this type of tourism. The results clearly demonstrate that one of the key components relies on the entrepreneurial skills of the farmer

Success Factors in the Development of Farm Vacation Tourism

Community/Rural/Urban Development,

Interorganizational Data Sharing in Health Ecosystems - A Case Sudy

The integration of external data offers enormous potential for new and expanded value propositions for companies. However, organizations often refrain from sharing data as they expect detrimental consequences from it. This study provides insights into how organizations decide to share data within the ecosystem and what organizations can do to motivate other organizations within the ecosystem to share data with them. Using privacy calculus and ecosystems theory to sensitize a qualitative case study of the German orthopedic market, we derive three risks (weakening one’s position in the ecosystem, IT alignment investments, and penalties for data protection violations) as well as three benefits (increased value creation of the ecosystem, competitive advantage over other ecosystems, and gaining additional transactions) perceived by organizations considering to share data. Further, three strategies for obtaining data from other organizations are derived: mitigating the risks, emphasizing the benefits, and bypassing the calculus

The Impact of Online Reviews on the Choice of Holiday Accommodations

The Impact of Online Reviews on the Choice of HolidayAccommodationsKatia Laura Sidali,Holger Schulze, andAchim SpillerUniversity of G\uf6ttingen{Katia-Laura.Sidali, H.Schulze, A.Spiller}@agr.uni-goettingen.deAbstractIn order to reduce information asymmetries in the tourist industry, consumers refer to multipleinformation sources. Among these, e-reviews are supposed to better reflect quality ofinformation because they are based on consumers\u2019 past experiences. The first purpose of thisstudy is therefore to test within an experimental design whether e-reviews have a predominantor a complementary role on consumer behaviour in comparison with other sources ofinformation (hotel rating system, travel guides and recommendations of travel agents). Asexpected, e-reviews are the most referential information source. We further use a causal modelin order to detect the determinants of trust in e-reviews, and we can show that perceivedexpertness of e-reviews, credibility of the e-platform and brand familiarity explain more than60% of trust in e-reviews. The final part of the analysis is dedicated to our third researchpurpose which is the measurement of the impact of trust in e-reviews on choice ofaccommodations. A significant and positive influence can be demonstrated. Hence, scientificand managerial implications are discussed

Conducting Online Focus Groups - Practical Advice for Information Systems Researchers

Video-based online focus groups present an emerging opportunity for IS researchers to collect rich data. They allow researchers to assemble participants from all over the world who collectively discuss contemporary IS phenomena. In order to realize the full potential of online focus groups for IS research, we need to understand the challenges and uncover possible solutions for designing and conducting online focus groups. We review prior (online) focus group literature in and beyond the IS discipline. Additionally, we provide a detailed account of our own experiences with seven online focus groups in the context of digital platforms. In supplementing our own experiences with those of others in prior literature, we present the conditions under which online focus groups are especially appropriate, summarize the challenges inherent in the online focus group method and provide practical advice on its application

Algorithmic Unfairness on Digital Labor Platforms: How Algorithmic Management Practices Disadvantage Workers

On digital labor platforms, interactions between workers and clients are algorithmically managed. Previous research found that algorithmic management can disadvantage workers. In this paper, we empirically examine algorithmic unfairness from a sociotechnical perspective. Specifically, we conduct online focus groups with 23 workers who directly interact with algorithmic management practices on digital labor platforms. In using grounded theory methodology, we pursue to understand how algorithmic management promotes unfairness on digital labor platforms. Our emergent theory understands algorithmic unfairness as algorithmic management practices that give rise to systematic disadvantages for workers. Algorithmic management practices either automate decisions or automate the delegation of decisions. Workers experience systematic disadvantages in the form of devaluation, restriction, and exclusion. Our findings serve as a starting point for mitigating algorithmic unfairness in the future