Thinking Fast and Thinking Slow: Digital Devices' Effects on Cognitive Reflection

2023 | Journal of Management Information Systems | Citations: 0

Authors: Figl, Kathrin; Remus, Ulrich

Abstract: Informed by theoretical perspectives on working memory demands and devices' pote ... Expand

Abstract: Informed by theoretical perspectives on working memory demands and devices' potential to "prime" different types of cognitive processing, this paper investigates whether we tend to think "faster" and more intuitively, with less reflection when we use a smartphone instead of a personal computer (PC) or notebook. Three complementary experimental studies with a total of 823 participants reveal that the results of using such devices surface only when participants can select the smartphone as their preferred device. Controlling for potential confounding variables reveals no evidence of general differences between devices. Our findings caution against overemphasizing the importance of the type of device in thinking slow or fast and establish self-selection bias as an important factor in explaining such differences. This study contributes to clarifying the psychology of smartphone screens and how humans make choices when they are using these devices. Collapse

Topics: smartphone electronic mail social media decision making laptop computer

Methods: survey within subject experiment longitudinal research experiment hierarchical linear modeling

Theories: dual-system theory cognitive theory

Online promotion effects under time limitation - A study of survey and physiological signals

2023 | Decision Support Systems | Citations: 0

Authors: Liang, Chih-Chin; Lin, Yu-Wen

Abstract: Online shopping platforms attract consumers to purchase by offering discounts or ... Expand

Abstract: Online shopping platforms attract consumers to purchase by offering discounts or informing them about the availability of limited quantities of cheaper items during a set time period. Offering goods on sale for a brief window creates a sense of time pressure and encourages impulse purchases. However, few studies have discussed the relationship between physiological signals and the promotional impact of limited time offers. In this study, we discuss the promotional impact of different promotion methods under time pressure and perform experiments using brainwaves and galvanic skin responses of 53 participants to reveal the relationships. This study surveys 501 participants to determine the promotional impact of limited time offers on customers using qualified experimented pictures to recall their feeling toward limited time offers. The analytical results indicate that timelimited promotions, monetary discounts, and online reviews significantly affect impulse purchase behavior. The experiential results show that promotion methods can arouse physiological signals and emotional reactions in participants. Finally, the research and managerial implications are discussed. Collapse

Topics: online review marketing management decision making consumer behavior missing data

Methods: experiment survey Student's t-test parametric test electrodermal activity

Immersive time (ImT): Conceptualizing time spent in the metaverse

2023 | International Journal of Information Management | Citations: 3

Authors: Mogaji, Emmanuel; Wirtz, Jochen; Belk, Russell W.; Dwivedi, Yogesh K.

Abstract: With growing investment into the metaverse or metaverses, the required hardware ... Expand

Abstract: With growing investment into the metaverse or metaverses, the required hardware and software is becoming more powerful and cheaper, and tech firms’ expectations for this market are high. In parallel, consumer brands are claiming their digital real estate as consumers seek experiences beyond those available in the real world. Having people engage on this platform is important for all stakeholders. To address this much needed level of engagement, this editorial introduces the concept of immersive time (ImT), which is described as the conscious, deliberate, and dedicated time spent using a headset and other accessories to continually engage in the meta­ verse, presumably at least in part to escape the real world. Once in ImT, there are rather limited opportunities to multitask and simultaneously devote time to the activities within the metaverse and the real world. As such, while prolonged ImT is important for the stakeholders, it is imperative to recognize the inherent dark sides of this time. Understanding ImT has important implications for researchers and practitioners (including tech de­ velopers, and brand and marketing managers who contemplate their metaverse strategies), and policymakers who aim to ensure customers’ safety when immersing in the metaverse. This editorial concludes with an agenda for future research to enhance our understanding of consumer behaviors and engagement in the metaverse. Collapse

Topics: consumer behavior social media social media addiction internet technology virtual reality

Doing Well by Doing Fair? Investigating the Effect of Users’ Fairness Perceptions on Adoption Intentions of Services

2023 | International Conference on Information Systems | Citations: 0

Authors: Waltermann, Hubertus; Ziegler, Anika; Engert, Simon; Hess, Thomas

Abstract: Within the IS discipline, the concept of fairness as a determinant for social g ... Expand

Abstract: Within the IS discipline, the concept of fairness as a determinant for social good recently gained attention. However, a comprehensive understanding of the influence of different fairness dimensions on user perceptions and their adoption intention of new technologies is missing. Based on fairness research, the FAIRSERV model, and the technology acceptance model, we derived a research model to study how users' fairness perceptions along different dimensions influence their adoption intentions in the context of online services. We tested our model in an online experiment with 407 participants. Our results show that perceived distributive, procedural, and interactional fairness positively influence users' perceived overall fairness regarding an online service, which, in return, positively influences their adoption intentions. We contribute to IS research by shedding light on the societal impact of fairness in the context of adopting new digital services. Practitioners can utilize our findings to improve their service offerings. Collapse

Topics: privacy societal evaluation criteria digital service user acceptance information system use

Methods: experiment factor analysis partial least squares path modeling survey chi squared test

Theories: technology acceptance model equity theory

Do Real-Time Reviews Matter? Examining how Bullet Screen Influences Consumers’ Purchase Intention in Live Streaming Commerce

2023 | Information Systems Frontiers | Citations: 0

Authors: Zeng, Qingfeng; Guo, Qian; Zhuang, Wei; Zhang, Yu; Fan, Weiguo

Abstract: Bullet screen as a type of real-time reviews published by viewers is an importan ... Expand

Abstract: Bullet screen as a type of real-time reviews published by viewers is an important unique feature in live streaming commerce. However, it is unclear whether and how bullet screen affects consumers’ purchase intention. Drawing upon elaboration likelihood model, this study developed a conceptual model integrating two variables for central cues and three variables for peripheral cues to explain consumers’ purchase intention. Using a big dataset of 668,591 records from the Taobao Live, the largest live streaming commerce platform in China, our empirical study finds that bullet screen has a vital role in influencing consumers’ purchase intention. Interestingly, bullet screen sentiment has a curvilinear relationship with purchase intention, and source credibility has a negative effect on purchase intention. In addition, product type moderates the impact of bullet screen on purchase intention, and the results indicate that peripheral cues have a stronger influence on purchase intention of experience products than search products. Our study contributes to customer review literature by exploring the influence of real-time reviews on consumer behaviors in live streaming commerce. It also offers a useful practical framework for platform providers and sellers. Collapse

Topics: consumer behavior logistics management electronic commerce marketing management business model

Methods: robustness check sentiment analysis conceptual modelling regression analysis method descriptive statistic

Theories: elaboration likelihood model

The Influences of Public and Institutional Pressure on Firms’ Cybersecurity Disclosures

2022 | Journal of the Association for Information Systems | Citations: 0

Authors: D'Arcy, John; Basoglu, Asli

Abstract: Cybersecurity disclosures in reports filed with the US Securities and Exchange ... Expand

Abstract: Cybersecurity disclosures in reports filed with the US Securities and Exchange Commission (SEC) inform investors about firms' cybersecurity incidents, risks, and related risk management efforts. Firms have traditionally chosen to communicate such information on a quarterly or annual basis, if at all, and prior research on the topic has largely focused on regulatory factors as driving forces. In this paper, we focus on timely disclosures (via 8-K filings) and derive hypotheses regarding the influences of two alternate forms of pressure as drivers of cybersecurity disclosures-(1) public pressure following a firm's data breach and (2) pressure arising from the breaches of industry peers, which we cast as "institutional pressure." We also theorize on how the source of the breach (internal or external) influences these forms of pressure. Our results suggest that firms' cybersecurity disclosure practices are influenced by public pressure following a data breach and that this pressure is more acute for external breaches than for internal breaches. By contrast, breaches by industry peers, as a form of institutional pressure, appear to prompt fewer cybersecurity disclosures, except when the focal firm suffers its own external breach. From a theoretical perspective, our study supports a nuanced application of legitimacy theory in the cybersecurity disclosure context, especially in the midst of public and institutional pressure, such that the source of a data breach determines whether firms attempt to address the resultant legitimacy gap. From a practical perspective, our results may be viewed as alarming in that firms are not reacting to internal breaches with the same degree of communicative effort about cybersecurity as for external breaches, at least in terms of the timely disclosures we consider in this study. Our findings also point to certain levers that can promote timely cybersecurity disclosures, and thus have important policy implications. Collapse

Topics: IT security data breach website Google+ internet technology

Methods: theory development statistical hypothesis test instrumental variables estimation regression analysis method statistical power analysis

Theories: institutional theory institutional isomorphism theory

Applying cognitive evaluation theory to analyze the impact of gamification mechanics on user engagement in resource recycling

2022 | Information & Management | Citations: 4

Authors: Hsu, Chia-Lin

Abstract: Public awareness of the need to protect the environment has been on the rise giv ... Expand

Abstract: Public awareness of the need to protect the environment has been on the rise given the widespread, continuous degradation of the global environment. Governments and businesses play important roles in fostering public acceptance of eco-friendly products and in increasing people’s use of resource recycling to achieve sustainable development. The present study, thus, explores how a website’s gamification mechanics influence the intrinsic motivations and needs satisfaction of users as well as their engagement in resource recycling. In addition, it investigates how environmental concerns moderate the relationships between intrinsic motivations and user engagement. The results reveal that gamification helps foster user engagement in resource recycling by influ­ encing needs satisfaction (i.e., relatedness, competence, and autonomy) between gamification mechanics and intrinsic motivations (i.e., self-presentation, self-efficacy, and flow). For users with high vs. low environmental concerns, intrinsic motivations have a more significant effect on their engagement in resource recycling. It is found that gamification not only creates intrinsic motivation, but it is also likely to facilitate the satisfaction of psychological needs through mechanisms such as self-expression, point rewards, and competition. This research adds to the literature by contributing a slightly different understanding of the success of gamification. Collapse

Topics: gamification website self efficacy intrinsic motivation user requirement

Methods: survey survey design SEM tool data transformation Student's t-test

Theories: cognitive evaluation theory

Shifting ML value creation mechanisms: A process model of ML value creation

2022 | Journal of Strategic Information Systems | Citations: 0

Authors: Shollo, Arisa; Hopf, Konstantin; Thiess, Tiemo; Müller, Oliver

Abstract: Advancements in artificial intelligence (AI) technologies are rapidly changing t ... Expand

Abstract: Advancements in artificial intelligence (AI) technologies are rapidly changing the competitive landscape. In the search for an appropriate strategic response, firms are currently engaging in a large variety of AI projects. However, recent studies suggest that many companies are falling short in creating tangible business value through AI. As the current scientific body of knowledge lacks empirically-grounded research studies for explaining this phenomenon, we conducted an exploratory interview study focusing on 56 applications of machine learning (ML) in 29 different companies. Through an inductive qualitative analysis, we uncover three broad types and five subtypes of ML value creation mechanisms, identify necessary but not sufficient conditions for successfully leveraging them, and observe that organizations, in their efforts to create value, dynamically shift from one ML value creation mechanism to another by reconfiguring their ML applications (i.e., the shifting practice). We synthesize these findings into a process model of ML value creation, which illustrates how organizations engage in (resource) orchestration by shifting between ML value creation mechanisms as their capabilities evolve and business conditions change. Our model provides an alternative explanation for the current high failure rate of ML projects. Collapse

Topics: value creation artificial intelligence knowledge creation decision making operational information system

Methods: qualitative interview business process modeling qualitative coding theory development design artifact

Theories: resource based view of the firm theory of task technology fit organizational knowledge creation

Spot instance similarity and substitution effect in cloud spot market

2022 | Decision Support Systems | Citations: 0

Authors: Singh, Vivek Kumar; Shivendu, Shivendu; Dutta, Kaushik

Abstract: Customers in cloud spot market choose from a set of computing resources (spot in ... Expand

Abstract: Customers in cloud spot market choose from a set of computing resources (spot instances) some of which are same along one or more of the dimensions of hardware configuration, hardware capacity, software, and location (or zones within the same region). While prior research in IS has shown that cloud market consumers do not substitute identical spot instances across distant locations or regions due to costs associated with latency, there is a paucity of research examining spot price dynamics of similar instances which are same along only some of the dimensions (or characteristics) within a region. Using the economic theory of substitution in production and consumption as our theoretical lens, our empirical analysis finds evidence that consumers substitute similar computing resources in the spot market. Further, we find that while hardware configuration similarity between two instances is positively related to spot instance substitution, this substitution effect along hardware config­ uration is moderated by similarity along hardware capacity and location (zone). Our work contributes to the literature on cloud spot market by providing empirical evidence of the substitution effect among similar spot resources within a region, and thus help in understanding the choices of consumers in this market. We conclude by discussing how practitioners can leverage these findings in the procurement of computing resources from cloud spot market. Collapse

Topics: computer hardware cloud computing price management electronic commerce Linux

Methods: statistical hypothesis test ordinary least square descriptive statistic literature study

Theories: economic theory

Data modalities, consumer attributes and recommendation performance in the fashion industry

2022 | Electronic Markets | Citations: 0

Authors: Sysko-Romańczuk, Sylwia; Zaborek, Piotr; Wróblewska, Anna; Dąbrowski, Jacek; Tkachuk, Sergiy

Abstract: This paper investigates determinants of recommendation systems’ performance in a ... Expand

Abstract: This paper investigates determinants of recommendation systems’ performance in an online experiment in a large European Internet footwear store. By combining transactional data and archival customer records, a unique database was compiled from which proxy variables were extracted to represent dimensions of consumer loyalty and shopping involvement. These variables were combined in regression analysis with technical characteristics of two types of algorithms employed for generating recommendations: the EMDE algorithm, relying on the LSH method, and the industry-standard CF-RS. Statistical analysis reveals that recommendations are more successful when visual data modality is combined with behavioural data. Better recommendation performance was found to be associated with lower levels of consumer involvement in shopping, as well as higher levels of trust and engagement with the vendor. Experience with the vendor showed a negative correlation with recommendation performance through both its main effect and by its interactions with other consumer-related variables. Collapse

Topics: database system marketing management consumer behavior recommender system internet technology

Methods: computational algorithm experiment experimental group machine learning logistic regression