Impact of information timeliness and richness on public engagement on social media during COVID-19 pandemic: An empirical investigation based on NLP and machine learning

2022 | Decision Support Systems | Citations: 0

Authors: Li, Kai; Zhou, Cheng; Luo, Xin (Robert); Benitez, Jose; Liao, Qinyu

Abstract: This paper investigates how information timeliness and richness affect public en ... Expand

Abstract: This paper investigates how information timeliness and richness affect public engagement using text data from China’s largest social media platform during times of the COVID-19 pandemic. We utilize a similarity calculation method based on natural language processing (NLP) and text mining to evaluate three dimensions of information timeliness: retrospectiveness, immediateness, and prospectiveness. Public engagement is divided into breadth and depth. The empirical results show that information retrospectiveness is negatively associated with public engagement breadth but positively with depth. Both information immediateness and prospectiveness improved the breadth and depth of public engagement. Interestingly, information richness has a positive moderating effect on the relationships between information retrospectiveness, prospectiveness, and public engagement breadth but no significant effects on immediateness; meanwhile, it has a negative moderating effect on the relationship between retrospectiveness and depth but a positive effect on immediateness, prospectiveness. In the extension analysis, we constructed a supervised NLP model to identify and classify health emergency-related information (epidemic prevention and help-seeking) automatically. We find that public engagement differs in the two emergency-related information categories. The findings can promote a more responsive public health strategy that magnifies the transfer speed for critical information and mitigates the negative impacts of information uncertainty or false information. Collapse

Topics: media richness usability social media pandemic timeliness of data

Methods: natural language processing computational algorithm term frequency–inverse document frequency machine learning robustness check

Influencing crowding at locations with decision support systems: The role of information timeliness and location recommendations

2022 | Decision Support Systems | Citations: 4

Authors: Wendt, Charlotte; Werner, Dominick; Adam, Martin; Benlian, Alexander

Abstract: To target crowding at locations, decision support systems (DSS) increasingly fea ... Expand

Abstract: To target crowding at locations, decision support systems (DSS) increasingly feature crowding information (CI) to indicate how much of a location's available capacity is occupied. Yet, little is known about how and why the timeliness of such CI (e.g., “updated just now”) influences users' selections of differently crowded locations and the effectiveness of location recommendations. Addressing this knowledge gap is, however, important to un­ derstand how to design DSS interfaces that prevent (over)crowding and improve related DSS reuse intentions. Drawing on construal level theory, we applied a mixed-methods approach comprising a quantitative and a complementary qualitative study. First, we conducted an online experiment in which 171 participants selected between differently crowded bars. The quantitative data provides evidence that high (vs. low) timeliness of CI leads users to select less crowded bars and raises users' DSS reuse intentions. Yet, the effect of high (vs. low) timeliness of CI on location selection is unexpectedly cancelled out when location recommendations are dis­ played. In subsequent qualitative interviews with DSS users we find that even though high (vs. low) timeliness of CI affords more conscious elaboration on CI's costs and benefits and increased trusting beliefs, present (vs. ab­ sent) location recommendations decrease one's cognitive effort and are more influential than timeliness of CI with regard to the actual location selection. Furthermore, high (vs. low) timeliness of CI enhances positive user perceptions, explaining the increased DSS reuse intentions. Overall, we provide novel insights on the role of timeliness of information for DSS to influence crowding behavior. Collapse

Topics: decision support system pandemic decision making website user satisfaction

Methods: qualitative interview mixed method experiment logistic regression chi squared test

Theories: construal level theory cognitive dissonance theory

The Status Quo of Digital Innovation Units: “A Day Late and a Dollar Short”

2021 | Americas Conference on Information Systems | Citations: 0

Authors: Holsten, Johanna; Raabe, Jun-Patrick; Gebken, Larissa; Schirmer, Ingrid

Abstract: This paper examines digital innovation (DI) types and digital trends that are e ... Expand

Abstract: This paper examines digital innovation (DI) types and digital trends that are especially addressed within digital innovation units (DIU). As research on DIUs is still scarce, we collected website data from German DAX30 incumbents to identify dependencies between different DIU setups, DI types and digital trends. Not surprisingly, our results show that DIUs primarily focus on digital products and business models related to AI, IoT/Smart x and Data Analytics. Differentiating between four DIU setups, we could not find particular digital trends being addressed by specific setups. In addition, drawing on the Gartner Hype Cycle (GHC), we show that DIUs mostly pay attention to digital trends in more mature stages. We conclude and recommend the need for DIUs to focus on radical DIs to be as innovative as they should be and to pay attention on digital trends in the earlier stages of the GHC to promote radical DIs. Collapse

Topics: artificial intelligence innovation management business model website business process innovation

Methods: deep learning machine learning qualitative coding qualitative content analysis

Who captures whom – Pokémon or tourists? A perspective of the Stimulus-Organism-Response model

2021 | International Journal of Information Management | Citations: 0

Authors: Hsiao, Chun-Hua; Tang, Kai-Yu

Abstract: Since its launch in 2016, Pok´emon Go has attracted huge numbers of players, cau ... Expand

Abstract: Since its launch in 2016, Pok´emon Go has attracted huge numbers of players, causing a boom in this game market. Although it is not as popular as before, from time to time we still find crowds of players gathered in some spots where Pok´emon appear. Numerous reports have explored this Pok´emon phenomenon; however, the exact reasons for its popularity remain unknown. The purpose of this study is to explore the post-adoption behavior of Pok´emon Go players and its influential factors in the gaming and tourism industries. The theoretical model of stimulus-organism-response was drawn on to examine the impact of the environmental stimuli (social influence and media influence) on players’ internal organisms, which in turn affect their post-experience responses. Moreover, gender differences were also examined in the hypothetical relationships. A total of 342 valid ques­ tionnaires from actual gamers were collected in this study, and data analysis was performed using a structural equation model. The results show that stimulus effects, such as social stimuli (critical mass and social interaction) and media stimuli (content timeliness and media richness), have significant impacts on the players’ internal gamified experience (attachment and conformity), which in turn affect their visit intention to catch creatures at certain attractions and to continue playing Pok´emon Go. Further, we have also found that players’ intention to visit Pok´emon spots is significantly correlated with their intention to continue playing the game. Findings provide links between gamification and tourism literature. Further theoretical and managerial implications are provided. Collapse

Topics: social influence timeliness of data mobile game gamification social media

Methods: survey structural equation modeling data transformation confirmatory factor analysis survey design

Theories: media richness theory critical mass theory attachment theory social influence theory

Semi-confusing Information Systems Revisited: The Role of Inefficiencies in Enacting Ambidexterity

2020 | Communications of the Association for Information Systems | Citations: 0

Authors: Magnusson, Johan; Polutnik, Lidija; Ask, Urban

Abstract: Forty years ago, Bo Hedberg and Sten Jönsson proposed the notion of semi-confusi ... Expand

Abstract: Forty years ago, Bo Hedberg and Sten Jönsson proposed the notion of semi-confusing information systems as a desired state for organizations operating in dynamic environments. At its core, the idea posits that efficiency alone cannot ensure long-term success but that organizations also require a certain amount of inefficiency. These ideas resonate in the growing literature on organizational ambidexterity that has deemed the dynamic balancing of exploration and exploitation a prerequisite for long-term performance. We use the design characteristics of semiconfusing information systems as a lens to analyze secondary data on a case of new product development in a global, automotive organization. We found that inefficiencies in the new product-development process correspond to the proposed design characteristics of semi-confusing information systems, which illustrates a new perspective on the role that inefficiencies play in organizations’ efforts to enact ambidexterity. The identified inefficiencies manifested in unsanctioned repertoires, which resulted in increased variety. In addition, we found the level of compliance with semiconfusing information systems characteristics to impact both an organization’s ambidextrous balance and the degree to which an organization enacts ambidexterity in a decentralized way. Collapse

Topics: marketing management research and development new product development innovation management information exchange

Methods: qualitative interview qualitative content analysis case study personal interview archival research

Theories: ambidexterity theory

How Good is Your Data? Investigating the Quality of Data Generated During Security Incident Response Investigations

2019 | HICSS | Citations: 1

Authors: Grispos, George; Glisson, William Bradley; Storer, Tim

Abstract: An increasing number of cybersecurity incidents prompts organizations to explore ... Expand

Abstract: An increasing number of cybersecurity incidents prompts organizations to explore alternative security solutions, such as threat intelligence programs. For such programs to succeed, data needs to be collected, validated, and recorded in relevant datastores. One potential source supplying these datastores is an organization’s security incident response team. However, researchers have argued that these teams focus more on eradication and recovery and less on providing feedback to enhance organizational security. This prompts the idea that data collected during security incident investigations may be of insufficient quality for threat intelligence analysis. Collapse

Topics: database system data quality data security data accuracy timeliness of data

Methods: case study qualitative interview single case study personal interview qualitative content analysis

An information supply chain system view for managing rare infectious diseases: The need to improve timeliness

2018 | Information & Management | Citations: 0

Authors: Gopalakrishna-Remani, Venugopal; Brown, Jay R.; Shanker, Murali; Hu, Micheal

Abstract: Timely reporting of rare infectious disease cases to the public health system, e ... Expand

Abstract: Timely reporting of rare infectious disease cases to the public health system, especially after identification at laboratories, is essential to initiate quick and effective public health response. To ensure that the public health reporting system is appropriately monitoring the rare infectious diseases under surveillance, it is recommended to have a regular assessment of timeliness, especially after the rare infectious case is confirmed. This study aimed to evaluate the timeliness of data reported to the Ohio Disease Reporting System (ODRS), a public health reporting system in Ohio, for managing rare infectious diseases. In a cross-sectional analysis of rare infectious disease reporting data in four local health jurisdictions (LHJs) in the state of Ohio, wide delays were found between various reporting steps, particularly when the laboratories were not using the electronic method of reporting, and the delay observed was mainly at the hospital level and at the LHJ level. This study highlights the supply chain nature of information transfer and calculates the delay at various interacting points of the information supply chain system. The results establish that a centralized approach with an electronic disease reporting system conveys information faster than traditional reporting channels (decentralized approach). Delays of the decentralized approach are isolated at various stakeholder levels and with respect to various types of rare infectious diseases for better understanding of the information supply chain system for managing rare infectious diseases. Collapse

Topics: supply chain management health information system IT workforce world wide web timeliness of data

Methods: simulation case study cross sectional research

Theories: coordination theory

The Impact of Information and System Quality on Emergency Notification Systems Adoption

2017 | Americas Conference on Information Systems | Citations: 0

Authors: Abdelhamid, Mohamed; Howell, Pamella; Sharman, Raj

Abstract: Campus Emergency Notification Systems (ENS) are deployed to inform and direct st ... Expand

Abstract: Campus Emergency Notification Systems (ENS) are deployed to inform and direct students when extreme events occur. Numerous schools have deployed emergency notification systems; however, student adoption of the artifact is very low. In this study, we investigate factors that drive students’ adoption building on the DeLone and McLean model of information systems (IS) success. We contribute to the emergency management and IS success theory by adding new contextually relevant constructs associated with information and system quality. Utilizing a survey we collected data from 867 participants and analyzed data using generalized structural equation modeling (GSEM). Results indicate that information timeliness and system credibility positively impact student’s adoption of emergency management systems. Our research aims to improve the adoption rate of ENS and thus save lives. Collapse

Topics: timeliness of data emergency warning system IS success system quality data quality

Methods: survey structural equation modeling conceptual modelling theoretical contribution survey design

Theories: information systems success model

Effects of tourism information quality in social media on destination image formation: The case of Sina Weibo

2017 | Information & Management | Citations: 13

Authors: Kim, Sung-Eun; Lee, Kyung Young; Shin, Soo Il; Yang, Sung-Byung

Abstract: This study investigates the role of content and noncontent cues of tourism infor ... Expand

Abstract: This study investigates the role of content and noncontent cues of tourism information quality in forming users’ destination image in social media. Empirical analysis based on data collected from Sina Weibo users suggests that several content cues and web page design as a noncontent cue are positively related with cognitive and affective images, which lead to a conative image. This study contributes to the body of knowledge on the role of tourism information quality in social media by providing empirical evidence on destination image formation. It also helps tourism managers build their marketing strategies to attract more tourists through social media. Collapse

Topics: social media web page Sina Weibo website data quality

Methods: survey literature study factor analysis data transformation statistical hypothesis test

INFORMATION QUALITY DIMENSIONS: TWO EXPLORATORY CASE STUDIES WITH ENTERPRISE CONTENT MANAGEMENT SYSTEM USERS

2016 | European Conference On Information Systems | Citations: 0

Authors: Laumer, Sven

Abstract: Using two explorative case studies we theorize in this paper about information q ... Expand

Abstract: Using two explorative case studies we theorize in this paper about information quality as one variable of the IS success model explaining user satisfaction. We derive four dimensions of information quality which have a diverse and unique impact on user satisfaction: information characteristics, information access and security, information format, and task-information fit. Moreover, we identify contextual factors such as the pace of information change and update, legal and compliance requirements, and employees’ skills which determine the importance of each dimensions for explaining user satisfaction. This more nuanced view of information quality as one component of the IS success model enables a better guidance of organizations in improving information quality to increase user satisfaction. Therefore, several organizational interventions are discussed that can be used to improve information quality by focusing on each of the four unique information quality dimensions separately. Collapse

Topics: data quality user satisfaction IS success usability IT policy

Methods: case study qualitative interview multiple case study theory development critical incident technique

Theories: information systems success model information systems theory