Challenges Posed by Locational Data Privacy

With the growth of innovative positioning technologies, research into individuals’ behavioral challenges posed by location-based services has become increasingly popular in recent years. Scholars from various social sciences and management disciplines have attempted to address such challenges in order to understand and mitigate concerns for locational-data privacy. In view of the broad applicability of location-based services, we conduct a review of eight prominent IS journals to investigate and understand individuals’ behavioral challenges in using such services. Our review reveals that perception of individuals’ locational-data privacy is constantly influenced by their respective social norms, social reality, and cultural background as well as their current geographical or locational factor. In light of this finding, we outline possible directions and opportunities for further IS research around three philosophical approaches- “positivist”, “interpretivist”, and “critical”- with the aim of enriching our discussion of how and why individuals’ social reality and cultural factors influence their perception of locational- data privacy

Catching the Viewer\u27s Eye: Examining Exploration and Exploitation Strategies in the Live Streaming Market

Live streaming has become an important feature on social media platforms like Facebook and Instagram. More and more entrepreneurs (content creators) are competing in live streaming platforms like Twitch to maximize the attention they receive from consumers (viewers). In this competitive landscape, it is crucial for entrepreneurs to develop and provide new compelling content that can maximize the consumers’ attention and aid the discovery of their content. We adopt an exploration-exploitation framework and assess the four strategies these new entrepreneurs could use to attract viewership and position themselves on Twitch: exploration, exploitation, learning from viewers, and their neighbor streamers. We combined the natural language processing techniques with theory-driven measures to accomplish this. Using our proposed measures, we estimate the utility of consumers from these different strategies using the discrete choice demand model

Behavioural analytics: Exploring judgments and choices in large data sets

The ever-increasing availability of large data-sets that store users’ judgements (such as forecasts and preferences) and choices (such as acquisitions of goods and services) provides a fertile ground for Behavioural Operational Research (BOR). In this paper, we review the streams of Behavioural Decision Research that might be useful for BOR researchers and practitioners to analyse such behavioural data-sets. We then suggest ways that concepts from these streams can be employed in exploring behavioural data-sets for (i) detecting behavioural patterns, (ii) exploiting behavioural findings and (iii) improving judgements and decisions of consumers and citizens. We also illustrate how this taxonomy for behavioural analytics might be utilised in practice, in three real-world studies with behavioural data-sets generated by websites and online user activity

The Effects of the Quantification of Faculty Productivity: Perspectives from the Design Science Research Community

In recent years, efforts to assess faculty research productivity have focused more on the measurable quantification of academic outcomes. For benchmarking academic performance, researchers have developed different ranking and rating lists that define so-called high-quality research. While many scholars in IS consider lists such as the Senior Scholar’s basket (SSB) to provide good guidance, others who belong to less-mainstream groups in the IS discipline could perceive these lists as constraining. Thus, we analyzed the perceived impact of the SSB on information systems (IS) academics working in design science research (DSR) and, in particular, how it has affected their research behavior. We found the DSR community felt a strong normative influence from the SSB. We conducted a content analysis of the SSB and found evidence that some of its journals have come to accept DSR more. We note the emergence of papers in the SSB that outline the role of theory in DSR and describe DSR methodologies, which indicates that the DSR community has rallied to describe what to expect from a DSR manuscript to the broader IS community and to guide the DSR community on how to organize papers for publication in the SSB

Predicting mobile advertising response using consumer colocation networks

Building on results from economics and consumer behavior, the authors theorize that consumers' movement patterns are informative of their product preferences, and this study proposes that marketers monetize this information using dynamic networks that capture colocation events (when consumers appear at the same place at approximately the same time). To support this theory, the authors study mobile advertising response in a panel of 217 subscribers. The data set spans three months during which participants were sent mobile coupons from retailers in various product categories through a smartphone application. The data contain coupon conversions, demographic and psychographic information, and information on the hourly GPS location of participants and on their social ties in the form of referrals. The authors find a significant positive relationship between colocated consumers' response to coupons in the same product category. In addition, they show that incorporating consumers' location information can increase the accuracy of predicting the most likely conversions by 19%. These findings have important practical implications for marketers engaging in the fast-growing location-based mobile advertising industry

The Research Method we Need or Deserve? A Literature Review of the Design Science Research Landscape

Senior Scholars have made a concerted effort to help researchers adopt and top-ranked IS journals publish design science research (DSR). However, DSR continues to underperform, and the support that Senior Scholars have provided to it in editorials and exemplars has created both confusion and clarity. In this study, we report on a descriptive literature review that we conducted to bring empirical context and insight to the many discussions that Senior Scholars have had on presenting, implementing, and contributing to DSR. In particular, we reviewed 111 papers in the AIS Senior Scholars’ basket of eight journals and found significant transparency issues that have led to methodological slurring. We also found that, while DSR has produced research with a strong focus on utility and usefulness, it has done so through generalized problems and solutions and, thus, overlooked the messy complexity of real IS problems and the actual use of proposed solutions. Finally, we found little evidence to support theory obsession in DSR, a topic of concern for the wider IS research community

The Concept of a Smart Action – Results from Analyzing Information Systems Literature

In recent years, the term \u27smartness\u27 has entered widespread use in research and daily life. It has emerged with various applications of the Internet of Things, such as smart homes and smart factories. However, rapid technological development and careless use of the term mean that, in information systems (IS) research, a common understanding of smartness has not yet been established. And while it is recognized that smartness encompasses more than the use of impressive information technology applications, a unified conceptualization of how smartness is manifested in IS research is lacking. To this end, we conducted a structured literature review applying techniques from Grounded Theory. We found that smartness occurs through actions, in which smart things and individuals interact, process information, and make data-based decisions that are perceived as smart. Building on these findings, we propose the concept of a \u27smart action\u27 and derive a general definition of smartness. Our findings augment knowledge about how smartness is formed, offering a new perspective on smartness. The concept of a smart action unifies and increases understanding of \u27smartness\u27 in IS research. It supports further research by providing a concept for describing, analyzing, and designing smart actions, smart devices, and smart services

The research method we need or deserve? A literature review of the design science research landscape

Senior Scholars have made a concerted effort to help researchers adopt and top-ranked IS journals publish design science research (DSR). However, DSR continues to underperform, and the support that Senior Scholars have provided to it in editorials and exemplars has created both confusion and clarity. In this study, we report on a descriptive literature review that we conducted to bring empirical context and insight to the many discussions that Senior Scholars have had on presenting, implementing, and contributing to DSR. In particular, we reviewed 111 papers in the AIS Senior Scholars’ basket of eight journals and found significant transparency issues that have led to methodological slurring. We also found that, while DSR has produced research with a strong focus on utility and usefulness, it has done so through generalized problems and solutions and, thus, overlooked the messy complexity of real IS problems and the actual use of proposed solutions. Finally, we found little evidence to support theory obsession in DSR, a topic of concern for the wider IS research community