The Effects of Disorientation and Cognitive Absorption on Adoption of In-Depth Recommendation Agents: The Moderating Role of Age and Gender

Recommendation Agents (RAs) are increasingly being made available to consumers to facilitate their online shopping decision making. However, in the information systems (IS) literature, there is a lack of understanding about the appropriate design of RAs to suit both younger and older adults, as well as both males and females. Grounded in the aging, valence theories, and information systems adoption literature, this experimental study investigates the effects of disorientation and cognitive absorption on adoption of in-depth online RAs and explores the moderating role of gender and age on these associations

Data Analysts’ Commitment to the Implementation of Big Data Analytics: A Cognitive Appraisal Perspective

Firms are adopting big data analytics (BDA) systems to obtain and sustain their competitive advantage. However, BDA’s real value cannot be realized unless its key executors show commitment to its implementation. Given the critical role of data analysts in this organizational change process, this research-in-progress study investigates the cognitive mechanisms through which data analysts’ commitment to BDA implementation is shaped and affected. The study, specifically, draws on the premises of the transactional theory of stress and the literature on the commitment to organizational change and answers to this question that how uncertainties perceived by data analysts during this technological transition impact their commitment to the implementation of BDA through their threat, challenge and control appraisals. Accordingly, a research model is proposed to be tested following an experimental methodology. Finally, the potential contributions and recommendations to theory and practice are also discussed

Understanding the Role of Data Analytics in Driving Discriminatory Managerial Decisions

Data analytics has been accused of contributing to discriminatory managerial decisions in organizations’ marketing strategies. To date, most studies have focused on the technical antecedents of such discriminations and, therefore, little is known about the role of human factors in making these discriminatory decisions. This work-in-progress study aims at addressing this gap by opening the black box between data analytics use in organizations and making discriminatory decisions. Drawing upon the theory of moral disengagement, we posit that four dimensions of moral disengagement, namely, dehumanization, euphemistic labeling, displacement of responsibility, and disregard of consequences are the mechanisms through which the use of data analytics tools in organizations could bring about discriminatory decisions. Moreover, data size and employees’ competency are discussed as having moderating impacts on some of these mechanisms. A survey-based methodology to empirically validate the proposed model is outlined. Potential contributions to theory and practice are delineated

The Impact of Big Data on Innovation Performance: The Mediating Role of Market- driven Capability

Big data has received significant attention in recent years. However, little is known concerning the impact of big data characteristics on innovation performance. This research-in-progress study draws on the organizational learning theory to investigate the influence of big data characteristics on innovation performance mediated by market-driven capability. A survey-based research is outlined to test the proposed research model using structural equation modeling techniques. Prospective contributions to theory and practice are also explained

The Impact of Big Data Analytics Implementation on Data Analysts Behavior: The Role of Stress and Psychological Capital

Recently the application of big data analytics (BDA) technology has become a trend in improving business outcomes to capture valuable insights that were not achievable previously. Despite the positive impacts expected by the implementation of these technologies, the results show inconsistencies. This study uses the transactional theory of stress to elaborate on the role of implementation of BDA in such seemingly contradictory results. Specifically, we propose that depending on their psychological capital, data analysts may perceive such technological change either as inspirational or impeding. Analysts who can cope with the difficulties inherent to the new technology may be more motivated to learn analytical skills. In contrast, given the inability to manage their negative, stressful feelings, less psychologically competent data analysts would resist BDA implementation. The potential contributions to theory and practice will also be discussed

Impact of Persuasion Processes on Consumer Attitude Towards Online Shopping: The Moderating Role of Product Involvement and Consumer Self-Efficacy

Online vendors expand significant efforts in attracting consumers to their websites. However, once a consumer lands on a vendor’s website, a more challenging task is to convince her/him to actually transact with the website by purchasing products. This research-in-progress study draws on the elaboration-likelihood model (ELM) to develop a theoretical model for the impacts of different persuasion processes (peripheral and central routes) on consumer attitude towards purchasing products online. We also propose motivational and ability factors that are likely to moderate the effects of these different persuasion processes on attitude. A survey-based methodology is outlined to empirically validate the proposed research model using structural equation modelling techniques. Potential contributions from this research to both theory and practice are also outlined

Identifying the Conditions under Which Online Reviews Translate into Product Sales: A Sentiment Analysis Approach

Number of available online consumer reviews has increased dramatically. This research-in-progress study draws on Cue-Summation and Communication Persuasion theories to define and validate the online review positiveness as a multidimensional formative index and conduct a sentiment analysis, using secondary data from Amazon.com, to identify the conditions under which online reviews translate into product sales. Particularly, this study focus on the role of product involvement, review time, product price, and review score inconsistency on the impact of online review positiveness on product sales. Potential contributions to theory and practice are also discussed

Impact of MBA Programs’ Business Analytics Breadth on Salary and Job Placement: The Role of University Ranking

Although many business schools have started to offer business analytics programs and courses for their MBA students, they lack understanding about how these efforts translate into job market gains for their graduates and whether all business schools have a level playing field. To bridge this gap, we use signaling theory to investigate the impacts that the business analytics breadth (BAB) level and university ranking of MBA programs have on graduates’ future employment success in terms of salary and job placement. We collected and analyzed data on business analytics-relevant courses that the top 89 business schools in the United States according to Bloomberg (bloomberg.com) offered. Our findings show the vital role of university ranking in determining the efficacy of BAB to produce job market gains for students: university ranking moderated the effect of business analytics offerings on post-graduation salary and job placement. These findings provide interesting insights for researchers and business schools interested in understanding the return on investment in business analytics programs