MY PAPERS

Despite the explosion of selling online, customers continue to have privacy concerns about online purchases. To alleviate such concerns, shopping sites seek to employ interventions to encourage users to buy more online. Two common interventions used to promote online sales are: (1) recommendations that help customers choose the right product either based on historic purchase correlations or recommendations suggested by the retailer; and (2) discounts that increase the value of products. Building on privacy calculus, we theorize about how and why key, representative combinations of recommendations and discounts influence the effects of inhibitors and enablers on online purchase intention. Our research design incorporated recommendations coming from different sources for the recommendation (retailer and other customers�?? preferences) product relatedness (related products with historic purchases correlated to the focal product and unrelated products with no historic purchase correlation to the focal product) and two types of discounts (regular and bundle). Participants completed a browsing task in a controlled online shopping environment and completed a survey (n = 496). We found mixed results of moderating effects of recommendations and product relatedness on the effect of inhibitors and enablers on purchase intention. Although recommendations did not enhance the effects of inhibitors, they did enhance the effects of enablers on online purchase intention. We also found that product relatedness did not enhance the effect of privacy enablers on online purchase intentions. The results also showed that discounts enhance the effects of enablers, and that discounts can counteract the moderating effect of recommendations on the relationship between inhibitors and purchase intention under certain circumstances. We discuss theoretical and practical implications.

As blockchain technology is maturing to be confidently used in practice, its applications are becoming evident and, correspondingly, more blockchain research is being published, also extending to more domains than before. To date, scientific research in the field has predominantly focused on subject areas such as finance, computer science, and engineering, while the area of service management has largely neglected this topic. Therefore, we invited a group of renowned scholars from different academic fields to share their views on emerging topics regarding blockchain in service management and service research. Their individual commentaries and conceptual contributions refer to different theoretical and domain perspectives, including managerial implications for service companies as well as forward-looking suggestions for further research.

This research examines the relationship between service design and citizen satisfaction with e-government services. Based on a multidimensional conceptualization of service, we define three key service perceptions, each comprising different design characteristics, that jointly influence perceived service quality and citizen satisfaction with e government services. The service perceptions and their corresponding design characteristics are: (1) perceptions of a core service�??accuracy, completeness, self-service capability, and convenience; (2) perceptions of facilitating services�?? accessibility, privacy protection, security protection, and user support; and (3) perceptions of supporting services�?? personalization capability and transparency. We tested our research model using data from a two-stage survey of 3,065 users of three e-government services. The results showed that all design characteristics contributed to their respective service perceptions that influenced perceived service quality that in turn influenced citizen satisfaction. The finding of a three-way interaction among the service perceptions supported their complementary role in influencing perceived service quality.</p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p>

The onset of the COVID-19 pandemic was accompanied with a pandemic of fake news spreading over social media (SM). Fact checking might help combat fake news and a plethora of fact-checking platforms exist, yet few people actually use them. Moreover, whether fact checking is effective in preventing citizens from falling for fake news, particularly COVID-19 related, is unclear. Against this backdrop, we examine potential antecedents to fact checking that can be a target for interventions and establish that fact checking is actually effective for preventing the public from falling for harmful COVID-19 fake news. We use a representative U.S. sample collected in April of 2020 and find that awareness of fake news and patterns of active SM use (e.g., commenting on content instead of reading it) increases the fact checking of COVID-19 fake news, whereas SM homophily reduces fact checking and the effects of SM use as users are trapped in �??echo chambers�?�. We also find that fact checking helps users identify accurate information on how to protect themselves against COVID-19 instead of false and often harmful claims propagated on SM. These findings highlight the importance of fact checking for combating COVID-19 fake news and help identify potential interventions.

Highly conscientious workers are more motivated and productive than their less conscientious colleagues. Moreover, conscientious employees tend to be more satisfied and less stressed from their work. One consequence of the COVID-19 pandemic, however, is that many workers have transitioned to working remotely, often under conditions of less direct supervision and less clarity about expected work activities and outcomes. We proposed that this significant change in work context constitutes a weakening of situational strength that can change the relationship of conscientiousness with job strain, job satisfaction, and job performance. Using Meyer et al.�??s (2010) conceptualization of situational strength, we tested the moderating effect of situational strength by surveying 474 white-collar employees in a Fortune-1000 firm in 2019 and again in 2020 after they had all transitioned to working remotely. We found that the changes in work context due to COVID-19 significantly lowered scores on situational strength and this was accompanied by a stronger positive effect of conscientiousness on performance. Importantly, during COVID-19, the relationships of conscientiousness with strain and satisfaction showed a reversal of sign, with more conscientious workers reporting higher strain and lower satisfaction. These effects were partially mediated by job demands and were replicated with work hours. The results provide a test of situational strength theory and suggest that changes in situational strength due to COVID-19 may cause an organization�??s most conscientious employees to be at elevated risk for burnout and dissatisfaction, and consequently, turnover, if not managed appropriately.

Objective: Few studies examine physicians' use of different features of health information technology (HIT) in relation to their psychological empowerment and stress, especially in China, where many hospitals are being pushed to share digitized medical information. Further, there are mixed findings about the impact of HIT on stress, with some studies suggesting that HIT increases stress and others suggesting no effect. Hence, there is a need for a nuanced view of HITs to incorporate different features, regions, and outcomes. This work seeks to extend the existing body of knowledge on HIT by assessing the effects of basic (data-related) and advanced (clinical) HIT features on physician empowerment, stress, and ultimately, job satisfaction in Chinese hospitals. Materials and Methods: We surveyed 367 physicians at 5 class 3 hospitals (ie, regional hospitals that provide specialist medical and healthcare services and carry out high levels of teaching and scientific research tasks) in 5 provinces in China. We specified and estimated a structural equation model using partial least squares. Results: Physicians who used advanced features experienced improvement in all dimensions of physician empowerment and significant reduction in stress. Physicians who used basic technology, however, experienced improvement in fewer dimensions of physician empowerment and no significant change in stress. Except for efficacy, all dimensions of physician empowerment and stress predicted job satisfaction. Conclusions: Healthcare professionals should assess the purpose of HIT features and expect different effects on intermediate and ultimate outcomes. The nuanced view of HIT features and processes leading to outcomes sheds light on their differential effects and resolves inconsistencies in prior findings on HIT effects.

Mobile--&gt; commerce (m-commerce) has become increasingly important for organizations attempting to grow revenue by expanding into international markets. However, for multinational mobile retailers (m-retailers), one of the greatest challenges lies in carefully managing their websites across multiple national markets. This work advances cross-national research on m-retailing by (1) examining how value dimensions shape m-shoppers�?? motivations, (2) analyzing differential effects of hedonic and utilitarian motivations on intention and habit, and (3) examining the competing roles of conscious (intentional) and unconscious (habitual) m-commerce use drivers across developed and developing countries. This research also examines the moderating role of m-commerce readiness at the country level on the effect of motivation on intention and habit, along with their impact on m-commerce use. Based on data from 1,975 m-shoppers in nine countries (Australia, Bangladesh, Brazil, India, Pakistan, Singapore, the United Kingdom, the United States, and Vietnam) across four continents, the results demonstrate differential relationships: consumers at an advanced (early) readiness stage are more likely to be hedonism-motivated (utility-motivated) when using m-commerce and tend to use it intentionally/consciously (habitually/unconsciously). In addition to advancing knowledge about m-commerce from a scientific perspective, the findings can help multinational firms decide whether to standardize or adapt m-shopping experiences when internationalizing.

Purpose �?? In the aftermath of data breaches, many firms offer compensation to affected customers to recover from damaged customer sentiments. To understand the effectiveness of such compensation offerings, Goode et al. (2017) examined the effects of compensation offered by Sony following the PlayStation Network breach in 2011. Although Goode et al. (2017) present key insights on data breach compensation, it is unclear whether their findings generalize beyond the context of subscription-based gaming platforms whose customers are young and experience substantial switching costs. To address this issue, we conducted a methodological replication in a retail context with low switching costs. Design/methodology/approach �?? In our replication, we examine the effects of compensation offered by Home Depot in the aftermath of its data breach in 2014. Home Depot is the largest home improvement retailer in the US and presents a substantially different context. Data were collected from 901 participants using surveys. Findings �?? Our results were consistent with the original study. We found that in retail breaches, effective compensation needs to meet customers�?? expectations because overcompensation or undercompensation leads to negative outcomes, such as decreased repurchase intention. Originality/value �?? Our study provides insights into the effectiveness of compensation in the retail context and confirms the findings of Goode et al. (2017).

Purpose - As information systems (IS) phenomena continue to emerge and evolve in our ever-changing economic and social contexts, researchers need to increase their focus on time in order to enrich our theories. The purpose of this paper is to present broad suggestions for IS researchers about how they can direct some of their research efforts to consider, conceptualize and incorporate time into research endeavors and how they might be mindful about considering and specifying time-related scope conditions of their research efforts. Design/methodology/approach - The authors synthesize empirical studies and discuss three distinct yet related frameworks of time and the benefits they can provide. The authors choose two research streams that reflect dynamic economic and social contexts �?? namely, enterprise systems and social networks �?? to illustrate how time and frameworks of time can be leveraged in our theory development and research design. Findings - The authors demonstrate that limited research in IS has incorporated a rich conceptualization and/or discussion of time. The authors build on this gap to highlight guidelines that researchers can adopt to enrich their view of time. Originality/value - Given the dynamic nature of IS phenomena and the increased availability of longitudinal data, the authors�?? suggestions aim to urge and guide IS researchers about ways in which they can incorporate time into their theory and study designs. <!-- /wp:shortcode --> <!-- wp:shortcode -->

The Internet of things (IoT) is emerging as an integrated set of digital innovations with the potential to unleash unprecedented opportunities and create significant challenges from both technological and societal perspectives. The IoT's emergence signals many valuable opportunities (particularly for information systems (IS) scholars) to conduct scholarly inquiries. We posit that, since the IS discipline operates at the intersection of information technologies' (IT) social, business, and technical aspects, IS scholars have a unique capacity to understand and contribute to advancing research on this new topic and associated phenomena. We outline the IoT's distinctive attributes and their implications for existing IS research traditions. Furthermore, we highlight some illustrative research perspectives from which IS scholars can study the IoT. We highlight a research agenda for IS in two different ways. First, we discuss four IS characteristics that change based on IoT elements: 1) the physio-digital continuum, 2) multi-level exploration of IS, 3) composite affordance, and 4) heterogeneity. Second, we discuss the ways in which the IoT opens up research opportunities based on its impact on four major thematic domains: 1) organizations, 2), technology, 3) individuals, and 4) society.