An Adversarial Dance: Toward an Understanding of Insiders’ Responses to Organizational Information Security Measures

2023 | Journal of the Association for Information Systems | Citations: 0

Authors: Balozian, Puzant; Burns, A.; Leidner, Dorothy

Abstract: Despite the increased focus on organizational security policies and programs, s ... Expand

Abstract: Despite the increased focus on organizational security policies and programs, some employees continue to engage in maladaptive responses to security measures (i.e., behaviors other than those recommended, intended, or prescribed). To help shed light on insiders' adaptive and maladaptive responses to IS security measures, we conducted a case study of an organization at the forefront of security policy initiatives. Drawing on the beliefs-actions-outcomes (BAO) model to analyze our case data, we uncover a potentially nonvirtuous cycle consisting of security-related beliefs, actions, and outcomes, which we refer to as an "adversarial dance." Explaining our results, we describe a novel belief framework that identifies four security belief profiles and uncovers an underexplored outcome of IS security: insiders' lived security experiences. We find that individuals' unfavorable lived security experiences produce counterproductive security-related beliefs that, in turn, lead to maladaptive behaviors. Maladaptive behaviors create new potential for security risk, leading to increased organizational security measures to counter them. Thus, the adversarial dance continues, as the new security measures have the potential to reinforce counterproductive security-related beliefs about the importance and risk of IS security and lead to new maladaptive behaviors. To help situate our findings within the current security literature, we integrate the results with prior research based on extant theories. While this paper is not the first to suggest that security measures can elicit maladaptive behaviors, the emergent belief framework and expanded BAO model of IS security constitute an important contribution to the behavioral IS security literature.Puzant Balozian is an assistant professor of computer information systems at James Madison University. His research focus is primarily on the impacts of organizational factors on individual user behaviors in the context of information security and privacy and addressing security policy compliance and violation. Collapse

Topics: IT security IT security defense productivity IT security threat anonymity

Methods: case study qualitative interview personal interview theory development survey

Theories: information systems theory neutralization theory behavioral theory

Nudging Towards Sustainable Delivery Options: First Insights From an Experimental Study

2023 | European Conference On Information Systems | Citations: 0

Authors: Brylla, Daniel; Walsh, Gianfranco

Abstract: As the e-commerce sector continues to grow, customers are increasingly concerne ... Expand

Abstract: As the e-commerce sector continues to grow, customers are increasingly concerned about the impact of their online orders on working conditions and the environment. In many cases though, online retailers emphasize delivery speed over sustainability and offer delivery options that put a strain on logistics workers and the environment. To promote the choice of more sustainable but slower delivery options, we present a model concerning how message frames affect delivery choice and customer outcomes (order completion, loyalty, word of mouth). An experimental study shows that simple message frames, regarding job conditions, the environment, and customer convenience, increase the choice of more sustainable, slower delivery options and customer outcomes indirectly via delivery choice, and warm glow feelings. Delivery fees dilute the impact of environmental message frames on delivery choice though. Overall, our findings suggest that nudging customers towards sustainable delivery options is possible, yielding positive effects for customers and retailers. Collapse

Topics: electronic commerce logistics management word of mouth website missing data

Methods: experiment theory development experimental design parametric test theoretical contribution

Shopping for digital innovation— The role of startup acquisitions for digital innovation in incumbents

2023 | Americas Conference on Information Systems | Citations: 0

Authors: Dekova, Ani; Böttcher, Timo; Krcmar, Helmut

Abstract: Incumbent firms increasingly acquire startups for digital innovation. Startups ... Expand

Abstract: Incumbent firms increasingly acquire startups for digital innovation. Startups excel at sensing market opportunities, and incumbents provide valuable resources and knowledge to seize these opportunities in digital business models. While extant research has explored the benefits resulting from such acquisitions, the reasons and strategic motivations for startup acquisitions remain unclear. This paper seeks to explore the motivations behind such acquisitions and their impact on digital business strategies. Drawing on a qualitative analysis of 124 startup acquisitions by retail incumbents, we identify six reasons incumbents acquire digital startups and two strategic goals pursued through these acquisitions. They illustrate how and why the acquisitions contribute to the incumbents' strategic goals for digital innovation and growth, and propose three testable hypotheses to deepen our understanding of this relationship. This study provides valuable insights for incumbents seeking to collaborate with startups and identifies startups suited for acquisition or collaboration. Collapse

Topics: digital innovation innovation management digital entrepreneurship business model digital business strategy

Methods: literature study qualitative coding triangulation survey grounded theory

Social informedness and investor sentiment in the GameStop short squeeze

2023 | Electronic Markets | Citations: 2

Authors: Kim, Kwansoo; Lee, Sang-Yong Tom; Kauffman, Robert J.

Abstract: We examine investor behavior on social media platforms related to the GameStop ( ... Expand

Abstract: We examine investor behavior on social media platforms related to the GameStop (GME) short squeeze in early 2021. Individual investors stimulated the stock market via Reddit social posts in the presence of institutional investors who bet against GME’s success as short sellers. We analyzed r/WallStreetBets subreddit posts related to GME’s trading patterns. We performed text-based sentiment analysis and compared the social informedness of posting users for GME trading on two social media platforms. The short squeeze occurred due to coordinated trading by individual investors, who discussed trading strategies on the platforms and drove collective social informedness-based trading behavior. Our findings suggest that the valence and number of submissions influenced GME’s intraday transaction volumes and precursors for irrational trading behavior patterns to have emerged. We provide a theoretical interpretation of what occurred and call for tighter monitoring of social news platforms. We also encourage effort to create an in-depth understanding of the observed patterns and the linkages between them and the larger equity markets. Collapse

Topics: Reddit social media Twitter analytical information system Python

Methods: Student's t-test sentiment analysis longitudinal research econometric modeling case study

Theories: cognitive dissonance theory

The puzzle of experience vs. memory: Peak-end theory and strategic gamification design in M-commerce

2023 | Information & Management | Citations: 0

Authors: Li, Manning; Jiang, Zhenhui (Jack); Ma, Guanghui

Abstract: As businesses increasingly use gamified mobile marketing campaign (GMMC) systems ... Expand

Abstract: As businesses increasingly use gamified mobile marketing campaign (GMMC) systems to engage mobile shop­ pers, gamification in m-commerce systems warrants more attention in both IS research and design practices. Inspired by peak-end theory, this study focused on the puzzling differences between user experience vs. memory and empirically examined the impact of different experience orders of cognitive load on user perceptions and behavioral intentions. Overall, the outcomes of this research suggest that appropriate applications of the peakend effect, moderated via users’ regulatory focus styles, can alleviate the negative mental utility imagery of users, reducing their perceived uncertainties and opt-out intentions from the GMMC. Important implications for research and practice are then discussed. Collapse

Topics: electronic data interchange marketing management user experience gamification systems design

Methods: experiment electroencephalography survey multivariate analysis of variance survey design

Theories: technology acceptance model flow theory self determination theory theory of planned behavior

Customer-initiated and firm-initiated online shopping visits under competition for attention: A conceptual model and empirical analysis

2022 | Decision Support Systems | Citations: 0

Authors: Bhatnagar, Amit; De, Prabuddha; Sen, Arun; Sinha, Atish P.

Abstract: Customer-initiated vs. firm-initiated visitsMarketing researchers distinguish b ... Expand

Abstract: Customer-initiated vs. firm-initiated visitsMarketing researchers distinguish between customer-initiated channels and firm-initiated channels [7,28,51,79]. Customer-initiated channels, e.g., organic search and paid search, allow a consumer to search for information on her own initiative. On the other hand, firminitiated channels, e.g., banner ads and Facebook ads, help a firm initiate marketing interventions to attract traffic to the firm's website. As A. Bhatnagar et al. Collapse

Topics: search engine Facebook electronic commerce website marketing management

Methods: conceptual modelling probit regression theoretical contribution company material literature study

Get your report a thumb-up: An empirical investigation on crowd testing

2022 | Decision Support Systems | Citations: 0

Authors: Cai, Jingxuan; Ke, Dan; Wu, Jiang; Luo, Xin (Robert)

Abstract: Crowd testing has been increasingly adopted as a marketing strategy for e-Retail ... Expand

Abstract: Crowd testing has been increasingly adopted as a marketing strategy for e-Retailers. However, scant academic research empirically addresses the performance of crowd testing from either the platform's or crowd testers' perspectives. This study aims to investigate the determinants of the usefulness of crowd testing reports in order to theoretically demonstrate the significance of crowd testing strategy, especially for new product promotion. We integrated text mining and regression to test the research model using the data extracted from a crowd testing website, Dealmoon.com. The analysis results show that the crowd testers' credibility and the testing report's information quality both play significant roles in the usefulness of crowd testing reports. Furthermore, the presence of peer testers' reports on the focal product moderates the effect of information quality on the report's usefulness. The research findings provide managerial implications for marketing practitioners to implement the crowd testing strategy effectively and for crowd testers to create useful testing reports. Collapse

Topics: crowdsourcing data quality perceived usefulness marketing management website

Methods: data transformation principal component analysis natural language processing robustness check computational algorithm

Theories: uncertainty reduction theory technology acceptance theory

Trust Me, I’m an Influencer! - A Comparison of Perceived Trust in Human and Virtual Influencers

2022 | European Conference On Information Systems | Citations: 0

Authors: Hofeditz, Lennart; Nissen, Anika; Schütte, Reinhard; Mirbabaie, Milad

Abstract: ... Expand

Abstract: Collapse

Topics: Instagram social presence social media online marketing marketing management

Methods: functional neuroimaging survey functional near infrared spectroscopy self reported survey survey design

Artificial Intelligence (AI) and Digital Transformation in the Insurance Market: A Case Study Analysis of BGL Group

2022 | HICSS | Citations: 0

Authors: Holland, Christopher

Abstract: Artificial Intelligence (AI) is transforming the insurance industry and there ar ... Expand

Abstract: Artificial Intelligence (AI) is transforming the insurance industry and there are many examples in the business press and at industry conferences. However, there is a paucity of detailed conceptual analysis and evaluation of AI technology that places AI in a strategic context and considers how different AI applications fit together and form a coherent picture. In this paper, a detailed case study of BGL group, a leading European insurance firm, is presented. A general business process model of insurance companies is used to structure the analysis. Five AI applications are described using an insurance firm-customer data flow diagram, which illustrates the marketing impact of AI technology and shows the nature of the business value creation process. The results are generalized into an AI customer lifecycle model, which has broad applicability to digital transformation projects. The likely future direction of AI in insurance is outlined and further research opportunities are identified. Collapse

Topics: artificial intelligence weak AI business model business process management digital transformation

Methods: case study focus group usability testing machine learning

Creative Appeals in Firm-Generated Content and Product Performance

2022 | Information Systems Research | Citations: 0

Authors: Mu, Jifeng; Zhang, Jonathan; Borah, Abhishek; Qi, Jiayin

Abstract: The authors of this research investigate the effects of hedonic and utilitarian ... Expand

Abstract: The authors of this research investigate the effects of hedonic and utilitarian message appeals in firm-generated content on product performance measured by daily sales. The results from a multiproduct category, large-scale empirical study with data collected from a variety of sources show that hedonic appeals have a higher positive impact than utilitarian appeals on product performance. The authors also illustrate that message appeals have positive effects on product performance only when message quality and message goal consistency surpass a certain threshold and that these positive effects are stronger for hedonic than for utilitarian appeals. The authors further demonstrate that message complexity negatively moderates the effects of hedonic and utilitarian appeals on product performance with a stronger negative moderating effect for hedonic appeals. The research provides guidance on the proper combination of message styles and suggests that firms’ creative capabilities to curate online messages that resonate with consumers can produce significant performance advantages. Collapse

Topics: Twitter Facebook social media personality marketing management

Methods: Student's t-test parametric test instrumental variables estimation sentiment analysis descriptive statistic