Unraveling the behavioral influence of social media on phishing susceptibility: A Personality-Habit-Information Processing model

2023 | Information & Management | Citations: 0

Authors: Frauenstein, Edwin Donald; Flowerday, Stephen; Mishi, Syden; Warkentin, Merrill

Abstract: Frequent and habitual engagement with social media can reinforce certain activit ... Expand

Abstract: Frequent and habitual engagement with social media can reinforce certain activities such as sharing, clicking hyperlinks, and liking, which may be performed with insufficient cognition. In this study, we aimed to examine the associations between personality traits, habits, and information processing to identify social media users who are susceptible to phishing attacks. Our experimental data consisted of 215 social media users. The results revealed two important findings. First, users who scored high on the personality traits of extraversion, agree­ ableness, and neuroticism were more likely to engage in habitual behaviors that increase their susceptibility to phishing attacks, whereas those who scored high on conscientiousness were less likely. Second, users who habitually react to social media posts were more likely to apply heuristic processing, making them more sus­ ceptible to phishing attacks than those who applied systematic processing. Collapse

Topics: phishing Facebook personality social media electronic mail

Methods: survey structural equation modeling survey design theory development self reported survey

Theories: big five model Maslow motivation theory uses and gratifications theory technology acceptance model theory of planned behavior

Towards a Better Characterization of IT Career Development Patterns

2023 | Americas Conference on Information Systems | Citations: 0

Authors: Wang, Yiwei; Meng, Qingxin; Chong, Alain; Zhu, Hengshu

Abstract: The career development patterns in the IT industry remain unrevealed, with exis ... Expand

Abstract: The career development patterns in the IT industry remain unrevealed, with existing research only focusing on the lateral job mobility and the job level changes were ignored. Revealing career development patterns necessitates the observation of a considerable number of individual career trajectories. However, data preparation is a demanding and expensive task, and the limited sample size results in coarse-grained career patterns. Digital professional platforms now allow for the accumulation of substantial amounts of realworld career trajectories, creating an unparalleled chance to uncover patterns. This paper develops a datadriven career pattern mining method: Density-Equilibrium Career Paths Pattern Mining (DECPPM), which overcomes the challenges of huge cardinality and job title imbalance that impede effective job title clustering and pattern mining. Using DECPPM, we uncover the career development patterns of IT professionals in terms of both job function and job level changes. Furthermore, we characterize the career patterns of IT individuals in different job levels from a multidimensional and temporal perspective, contributing to the literature on the relationship between career mobility and career success. Collapse

Topics: IT career IT workforce personality

Methods: cluster analysis statistical hypothesis test DBSCAN parametric test ANOVA

Investigating the Market Success of Software-as-a-Service Providers: the Multivariate Latent Growth Curve Model Approach

2023 | Information Systems Frontiers | Citations: 0

Authors: Lee, Sun-Pyo; Kim, Kyungji; Park, Sungbum

Abstract: Software-as-a-Service (SaaS) Cloud computing as the next stage of internet evolu ... Expand

Abstract: Software-as-a-Service (SaaS) Cloud computing as the next stage of internet evolution provides all the computing resources as services over the Internet. In the SaaS cloud computing research area, there are many studies from the user’s point of view, but there is relatively little research on the supplier’s success strategy. The purpose of this study is to empirically analyze the factors that determine the market competitiveness necessary for SaaS cloud computing providers to survive in the mid to long term. We presented application dimension and technology maturity as SaaS idiosyncratic factors and show how these factors influence the business performance of SaaS providers through a differentiation strategy and low-cost strategy. Using a multivariate latent growth curve model, this study analyzed 199 strategic business units of SaaS cloud computing providers in Korea for three years. Our results find that SaaS cloud computing idiosyncratic factors did not significantly enhance the software providers’ business performance in the early stage. However, they significantly affected the growth rate of their customer base and financial performance as the SaaS technology became mature over time. In addition, this study identifies a set of business, strategic, and technical considerations to guide the practitioners’ decision-making process for selecting an appropriate SaaS cloud computing model. Collapse

Topics: software as a service cloud computing cloud computing provider organizational productivity IS maturity

Methods: longitudinal research chi squared test survey design latent growth curve modeling survey

COVID-19 Infection Tracing with Mobile Apps: Acceptance and Privacy Concerns

2021 | International Conference on Information Systems | Citations: 0

Authors: Fortagne, Marius Arved; Reith, Riccardo; Diel, Soeren; Buck, Christoph; Eymann, Torsten; Lis, Bettina

Abstract: In the unique context of an ongoing pandemic, this study aims to investigate th ... Expand

Abstract: In the unique context of an ongoing pandemic, this study aims to investigate the acceptance of mobile contact tracing applications (CTA) provided by the German government. Herein, the study develops and validates a research model based on established acceptance, privacy-, and health-related theories, which explains 80% of the variance of the intention to use CTA. The results of the structural equation model (n=656) indicate performance expectancy, effort expectancy, social influence, trust, privacy concerns, and anxiety to be relevant drivers of the intention to use CTA. This research contributes to theory and practical application by remarkable results, including the implementation of a collective-oriented task as an app performance, and identifying the effect of trust to be mediated via privacy concerns. Thereby, we offer valuable insights for research and institutions in charge of distributing the app. Collapse

Topics: information privacy concern usage intention privacy social influence pandemic

Methods: survey chi squared test structural equation modeling theoretical contribution statistical hypothesis test

Theories: unified theory of acceptance and use of technology diffusion of innovations theory theory of planned behavior theory of reasoned action

Prompt-Rich CMC on YouTube: To What or to Whom Do Comments Respond?

2021 | HICSS | Citations: 0

Authors: Herring, Susan; Chae, Seung Woo

Abstract: Participants in textual CMC must identify to whom or what a message responds in ... Expand

Abstract: Participants in textual CMC must identify to whom or what a message responds in order to establish conversational coherence. Media sharing sites provide rich prompts that make available multiple, diverse, potential addressees. We conducted an exploratory content analysis of addressee types and how they relate to the content of messages in three YouTube comment threads related to the COVID-19 pandemic, applying addressee and topic coding schemes inspired by [6]’s YouTube participation framework. Some addressee types and content types were mentioned significantly more frequently than others, although there was variation across threads. Also, certain kinds of topics were addressed more with certain addressees, and different topics were addressed in replies than in comments. Thus, the interaction between addressee and message content should be considered in analyses of conversational coherence on YouTube and other rich-prompt CMC platforms. Collapse

Topics: YouTube pandemic Python Facebook Instagram

Methods: qualitative coding qualitative content analysis chi squared test descriptive statistic

Social commerce: Factors affecting customer repurchase and word-of-mouth intentions

2021 | International Journal of Information Management | Citations: 0

Authors: Meilatinova, Nina

Abstract: Social commerce refers to an extension of e-commerce sites, integrated with soci ... Expand

Abstract: Social commerce refers to an extension of e-commerce sites, integrated with social media and Web 2.0 tech­ nology to encourage online purchases and interactions with customers before, during, and after the purchase. As the country with the largest e-commerce market in Southeast Asia and many active social media users, Indonesia has many opportunities to implement successful social commerce. Since customers are the primary focus in social commerce, repurchase and word-of-mouth (WOM) intentions have been considered as significant behavioural intentions after a customer completes a purchase. Thus, this study aims to identify factors that affect customers’ repurchase and WOM intentions. A total of 421 sets of survey data were gathered from social commerce cus­ tomers in Indonesia and analysed using the partial least squares approach. The results indicate that repurchase and WOM intentions are positively affected by trust and satisfaction, where both trust and satisfaction are positively affected by reputation and information quality. The results provide theoretical and practical impli­ cations for future social commerce research and practical implications for social commerce firms. Collapse

Topics: social commerce data quality word of mouth anonymity Twitter

Methods: survey partial least squares path modeling structural equation modeling PLS tool Kolmogorov-Smirnov test

An elaboration likelihood model of consumer respond action to facebook second-hand marketplace: Impulsiveness as a moderator

2020 | Information & Management | Citations: 0

Authors: Chang, Hsin Hsin; Lu, Yu-Yu; Lin, Shao Cian

Abstract: The Elaboration Likelihood Model is adopted in this study to examine the interac ... Expand

Abstract: The Elaboration Likelihood Model is adopted in this study to examine the interaction of central route factors (information completeness and information accuracy) and peripheral route factors (post esthetics and post popularity) on consumer behavior in the Facebook Second-hand Marketplace. Impulsiveness served as a moderator affecting the relationship between consumer attitudes and behavior. Eight scenarios were designed to test the effects of post characteristics on consumer responses and purchase behavior. Hedonic and utilitarian products were used in the scenarios to compare the differences among different product types. A total of 908 valid questionnaires were collected. The results of the data analysis indicated that consumers who process messages through the central route tend to respond to the post before initiating purchase intention. On the other hand, consumers who process messages through the peripheral route tend to initiate purchase intention directly if they feel favorable toward a post. Regarding the post characteristics, post popularity was found to be the most crucial factor related to enhancing perceived persuasiveness. According to the results and findings, it is suggested that sellers on the Facebook Second-hand Marketplace should provide messages about their product as accurately as completely as possible to strengthen positive impressions of their posts. Otherwise, they need to provide an interesting introduction or esthetic pictures to attract consumer attention. Collapse

Topics: Facebook data accuracy laptop computer consumer behavior decision making

Methods: survey factorial experiment structural equation modeling parametric test post-hoc analysis

Theories: elaboration likelihood model

IMPRESSION MANAGEMENT USING VIVID AND INTERACTIVE GRAPHS IN ONLINE ANNUAL REPORTS: AN EXPERIMENTAL INVESTIGATION

2020 | European Conference On Information Systems | Citations: 0

Authors: Zhang, Yibo (James); Murthy, Uday

Abstract: ... Expand

Abstract: Collapse

Topics: organizational productivity social media information graphic virtual reality financial performance

Methods: experiment analysis of covariance exploratory data analysis survey statistical hypothesis test

A Revision of Computer Self-Efficacy Conceptualizations in Information Systems

2019 | ACM SIGMIS Database | Citations: 0

Authors: Gupta, Saurabh; Bostrom, Robert P.

Abstract: Computer self-efficacy is one of the more important constructs in information sy ... Expand

Abstract: Computer self-efficacy is one of the more important constructs in information systems (IS) research. Over the years, IS researchers have debated about its multifaceted nature. Yet, despite, extensive debate, we contend that for information systems, the conceptualization of various self-efficacy dimensions is incomplete. The primary dimension currently focused on is the specificity of the technology. This has resulted in two types of self-efficacy being investigated: computer self-efficacy and specific computer self-efficacy. However, the task being performed with technology has received limited attention in information systems self-efficacy research and discussions. We argue that there are four distinct types of computer self-efficacy constructs that are derived from combining the dimensions of specificity of information technology (specific/general) and task type (simple/complex) into a 2x2 model. Using data gathered from a quasi-experimental study, we illustrate how these constructs are not only theoretically different but also have a distinct measurement item set. Implications for expanding self-efficacy research are discussed at the end. Collapse

Topics: self efficacy spreadsheet perceived usefulness perceived ease of use behavioral intention

Methods: quasi experiment partial least squares path modeling survey design NeuroIS structural equation modeling

Theories: technology acceptance model social cognitive theory

Social networks and online store performance in emerging economies: the mediating effect of legitimacy

2019 | Electronic Markets | Citations: 1

Authors: Yu, Xiaoyu; Tao, Yida; Chen, Yi; Zhang, Weiyong; Xu, Pinglei

Abstract: Although it is well established in the literature that social networks affect fi ... Expand

Abstract: Although it is well established in the literature that social networks affect firm performance, few studies have quantified the effects on online store performance, particularly in the context of emerging economies. Building upon the framework proposed by Hoang and Antoncic (2003), we developed a model to explore the effects of family ties, tie strength, and structural holes on online store performance. Informed by the organization science literature, we incorporated legitimacy as a mediator in our model. Using empirical data collected from 243 online stores operating on Taobao (the largest e-marketplace in China), we found that (1) family ties have a negative effect on online store performance and legitimacy partially mediates this negative effect, (2) tie strength has a positive effect on online store performance and legitimacy fully mediates this positive effect, and (3) structural holes have a positive effect on online store performance and legitimacy partially mediates this positive effect. These insights contribute to a more in-depth understanding of the relationship between social networks and online store performance in emerging economies. Further, this research empirically validated legitimacy’s mediating effect. We conclude the paper with a discussion of theoretical contributions, managerial implications, and future research directions. Collapse

Topics: electronic commerce social network entrepreneurship missing data search engine

Methods: survey regression analysis method theory development theoretical contribution confirmatory factor analysis