A Systematic Review of Blockchain-based Loyalty Programs

2023 | HICSS | Citations: 0

Authors: Abooleet, Saeed; Kinnett, Seth

Abstract: Customer loyalty programs, the incentive structures designed to reward and retai ... Expand

Abstract: Customer loyalty programs, the incentive structures designed to reward and retain customers for purchases and other activities, have struggled to maximize their intended goals. Academics and industry practitioners have advocated for the use of blockchain technology as a vehicle to revolutionize loyalty programs. Despite this hype, we have yet to see an examination of existing blockchain-based loyalty solutions. This paper identifies, reviews, and classifies tokenized loyalty solutions. Using a web-scraping method, we systematically retrieved 9,642 tokens listed on the coinmarketcap.com website. Multiple applications of inclusion/exclusion criteria resulted in 21 active loyalty programs based on blockchain, which we evaluated in depth. Our findings confirm that the domain is nascent yet more actualized than previous research has suggested. This analysis fills a much-needed role in the blockchain-loyalty literature by providing an industry lens into the realities of blockchain as a loyalty solution. Collapse

Topics: blockchain cryptoasset crypto exchange customer loyalty website

Methods: descriptive statistic structured literature research

Remote Workers’ Privacy Concerns, Psychological Climate for Face Time, and Organizational Affective Commitment

2023 | HICSS | Citations: 0

Authors: Afota, Marie-Colombe; Cañibano, Almudena; Ollier-Malaterre, Ariane; Provost Savard, Yanick; Léon, Emmanuelle

Abstract: During the Covid-19 pandemic, the shift to high-intensity remote work—three days ... Expand

Abstract: During the Covid-19 pandemic, the shift to high-intensity remote work—three days or more a week—accelerated the digitalization of work processes on platforms such as Slack or Teams and the blurring of boundaries between work and personal life through videoconferencing and the use of personal devices for work. This paper explores the relationships between high-intensity remote workers’ information and communication technologies (ICT) privacy concerns, psychological climate for face time, and organizational affective commitment. Building on organizational support and social information processing theories, we argue that ICT privacy concerns and perceptions that an organization values physical presence in-office may undermine commitment to the organization. Based on a two-wave study of 1065 remote workers in a large multinational bank, we find that ICT privacy concerns and psychological climate for face time reinforce one another and are negatively associated with subsequent affective organizational commitment. Collapse

Topics: information privacy concern organizational commitment remote work IT supported collaboration privacy

Methods: statistical hypothesis test chi squared test longitudinal research SEM tool structural equation modeling

Theories: social information processing theory

Brand Crisis and Customer Relationship Management on Social Media: Evidence from a Natural Experiment from the Airline Industry

2023 | Information Systems Research | Citations: 0

Authors: Al Balawi, Ramah; Hu, Yuheng; Qiu, Liangfei

Abstract: In this study, we investigate the effect of a brand crisis on the customer relat ... Expand

Abstract: In this study, we investigate the effect of a brand crisis on the customer relationship management (CRM) efforts of brands on social media. Despite the opportunities social media offers to brands to connect and engage with customers, it is still unclear how a brand crisis can change a brand’s social CRM efforts. Social media platforms can amplify the negative consequences of a brand crisis. However, the unique and public nature of social media platforms can offer new means for brands to handle a brand crisis and publicly manage their customer relationships. Compared with traditional CRM, social media enables brands to communicate with their customers publicly, which can strengthen their relationships with customers and maintain higher levels of customer engagement. Leveraging a natural experiment setting, we investigate the impact of the United Airlines crisis on three dimensions of social CRM efforts: informativeness, timeliness, and attentiveness. Contrary to traditional CRM efforts and recommendations, we find that the brand crisis increases informativeness efforts but reduces timeliness and attentiveness efforts.History: Yong Tan, Senior Editor; Beibei Li, Associate Editor.Supplemental Material: The online appendix is available at https://doi.org/10.1287/isre.2022.1159. Collapse

Topics: social media Twitter customer service customer satisfaction customer relationship management

Methods: mediation analysis longitudinal research robustness check natural experiment experimental group

Advancing the Understanding of the Role of Responsible AI in the Continued Use of IoMT in Healthcare

2023 | Information Systems Frontiers | Citations: 1

Authors: Al-Dhaen, Fatema; Hou, Jiachen; Rana, Nripendra P.; Weerakkody, Vishanth

Abstract: This paper examines the continuous intention by healthcare professionals to use ... Expand

Abstract: This paper examines the continuous intention by healthcare professionals to use the Internet of Medical Things (IoMT) in combination with responsible artificial intelligence (AI). Using the theory of Diffusion of Innovation (DOI), a model was developed to determine the continuous intention to use IoMT taking into account the risks and complexity involved in using AI. Data was gathered from 276 healthcare professionals through a survey questionnaire across hospitals in Bahrain. Empirical outcomes reveal nine significant relationships amongst the constructs. The findings show that despite contradictions associated with AI, continuous intention to use behaviour can be predicted during the diffusion of IoMT. This study advances the understanding of the role of responsible AI in the continued use of IoMT in healthcare and extends DOI to address the diffusion of two innovations concurrently. Collapse

Topics: usage intention artificial intelligence responsible artificial intelligence innovation management online learning system

Methods: SEM tool survey descriptive statistic structural equation modeling survey design

Accepting the Familiar: The Effect of Perceived Similarity with AI Agents on Intention to Use and the Mediating Effect of IT Identity

2023 | HICSS | Citations: 0

Authors: Alawi, N.; De Vreede, T.; De Vreede, G.

Abstract: With the rise and integration of AI technologies within organizations, our unde ... Expand

Abstract: With the rise and integration of AI technologies within organizations, our understanding of the impact of this technology on individuals remains limited. Although the IS use literature provides important guidance for organization to increase employees' willingness to work with new technology, the utilitarian view of prior IS use research limits its application considering the new evolving social interaction between humans and AI agents. We contribute to the IS use literature by implementing a social view to understand the impact of AI agents on an individual's perception and behavior. By focusing on the main design dimensions of AI agents, we propose a framework that utilizes social psychology theories to explain the impact of those design dimensions on individuals. Specifically, we build on Similarity Attraction Theory to propose an AI similarity-continuance model that aims to explain how similarity with AI agents influence individuals' IT identity and intention to continue working with it. Through an online brainstorming experiment, we found that similarity with AI agents indeed has a positive impact on IT identity and on the intention to continue working with the AI agent. Collapse

Topics: artificial intelligence usage intention behavioral intention brainstorming usability

Methods: chatbot experiment survey descriptive statistic statistical hypothesis test

Theories: social psychology theory

Impressionable or Immune? Examining the Influence of Marquee Sellers in B2B Secondary Market Platforms for IT Products

2023 | Information Systems Research | Citations: 0

Authors: Alhauli, Abdullah; Elmaghraby, Wedad J.; Gopal, Anandasivam

Abstract: Although digital platforms have become mainstream, there still remain some unans ... Expand

Abstract: Although digital platforms have become mainstream, there still remain some unanswered questions pertaining to managing platform ecosystems. One such unexplored question pertains to the effect of marquee sellers on the platform—marquee sellers arguably attract other sellers and buyers to the platform, thereby enhancing the platform’s value. In this paper, we study how adding a marquee seller to a business-to-business (B2B) secondary-market platform for IT products affects other sellers, in terms of the prices they obtain for comparable products. Using proprietary data on B2B secondary-market auctions obtained from a platform provider, we show that the entry of a marquee seller has a positive effect on the prices obtained by other sellers on the platform, reflecting a reference-price effect. We further show that this positive effect on final prices is moderated by the extent to which bidders are active on multiple seller sites on the same platform and the extent to which bidders participate in the marquee seller site. We explain these effects using theory in multihoming and involvement, in terms of how reference prices are set. Our work extends the platforms literature by considering the specific influence of a marquee seller on other sellers, thereby informing platform owners on the implications of the advice to add more marquee sellers to platforms. We also contribute to the literature on secondary markets for durable, used IT products, which are instrumental in reducing electronic waste and mitigating the environmental damage done by electronic products in landfills.History: Raghu Santanam, Senior Editor; Pallab Sanyal, Associate Editor.Supplemental Material: The online appendix is available at https://doi.org/10.1287/isre.2022.1137. Collapse

Topics: Apple iPhone business-to-business willingness to pay network effect mobile system

Methods: robustness check descriptive statistic statistical hypothesis test post-hoc analysis ordinary least square

Theories: involvement theory

When Reflection Hurts: The Effect of Cognitive Processing Types on Organizational Adaptation to Discontinuous Change

2023 | Organization Science | Citations: 1

Authors: Alves, Marlon Fernandes Rodrigues; Vastola, Vincenzo; Vasconcelos Ribeiro Galina, Simone; Zollo, Maurizio

Abstract: Technological breakthroughs, institutional disruptions, and natural disasters of ... Expand

Abstract: Technological breakthroughs, institutional disruptions, and natural disasters often alter the course of organizations and entire industries. Such discontinuous changes threaten organizations’ survival by affecting the value of the knowledge accumulated in routines and capabilities. Although it is widely acknowledged that managerial cognition is a critical antecedent of organizational responses to discontinuous change, the role of type 1 (intuitive) and type 2 (reflective) processing in the adaptation of shared patterns of behavior, that is, routines, remains understudied. Drawing on dual-process theory, we propose that particular features of type 1 processing render this approach superior to type 2 processing, especially in highly ambiguous environments in which information is limited and difficult to verify. We tested our hypotheses in a longitudinal experiment linking individual-level factors with organizational-level practices of routine adaptation. Experienced managers, paired in 80 groups, developed routines in a first round of a simulation game; in a second round, we then introduced a discontinuous change making previous routines obsolete in order to observe how they adapted. The data show that priming type 1 processing facilitates organizational adaptation more than type 2 processing by providing faster, more routinized, efficiently coordinated, and optimal responses. In addition, type 1 appears to be more functional in highly ambiguous environments, whereas type 1 and type 2 processes yield similar levels of performance under low levels of ambiguity. Overall, our study advances the understanding of the nondeliberative dimension of organizational adaptation to discontinuous change.History: This paper has been accepted for the Organization Science Special Issue on Experiments in Organizational Theory.Funding: This work was supported by Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (Finance Code 001).Supplemental Material: The online appendix is available at https://doi.org/10.1287/orsc.2021.1517. Collapse

Topics: decision making strategic management innovation management problem solving task productivity

Methods: experiment longitudinal research parametric test ANOVA statistical hypothesis test

Theories: dual-system theory dynamic capabilities theory

Blockchain innovation for consent self-management in health information exchanges

2023 | Decision Support Systems | Citations: 0

Authors: Anderson, Chad; Carvalho, Arthur; Kaul, Mala; Merhout, Jeffrey W.

Abstract: With the increasing digitalization of health data, patients need to make informe ... Expand

Abstract: With the increasing digitalization of health data, patients need to make informed decisions about the online sharing of their protected health information. This necessitates a robust technical infrastructure that enables patients to self-manage consent and the trusted exchange of this information across sharing entities. Unfortu­ nately, current health information exchange systems in the U.S. are limited in both these regards. While there is recent work on digital patient consent management, there is limited work that provides effective solutions for patient self-management of consent. Further, interoperability issues in the way health information exchanges are currently architected and differences in regulations across localities exacerbate the challenges of consent man­ agement. In this research, we survey potential patients' willingness to self-manage healthcare-related consent. Having established the desire for consent self-management, we propose a solution that enables the seamless sharing of patient consent across different healthcare providers and health information exchanges. Specifically, we use a rigorous design science approach to create a blockchain-based, self-managed patient consent system and we evaluate the design through an instantiated prototype. The results of our study should be useful to researchers in healthcare information management as well as to practitioners designing consent management systems. Our research contributes to design science research with an innovative, rigorously evaluated, design principles-based artifact that addresses a critical problem of sharing protected health information. Collapse

Topics: blockchain mobile application information exchange privacy Ethereum

Methods: survey design artifact design science design process design principle

Theories: evidence-based design

On Predicting ESG Ratings Using Dynamic Company Networks

2023 | ACM Transactions on Management Information Systems | Citations: 0

Authors: Ang, Gary; Guo, Zhiling; Lim, Ee-Peng

Abstract: Environmental, social and governance (ESG) considerations play an increasingly i ... Expand

Abstract: Environmental, social and governance (ESG) considerations play an increasingly important role due to the growing focus on sustainability globally. Entities, such as banks and investors, utilize ESG ratings of companies issued by specialized rating agencies to evaluate ESG risks of companies. The process of assigning ESG ratings by human analysts is however laborious and time intensive. Developing methods to predict ESG ratings could alleviate such challenges, allow ESG ratings to be generated in a more timely manner, cover more companies, and be more accessible. Most works study the effects of ESG ratings on target variables such as stock prices or financial fundamentals of companies, but few works study how different types of company information can be utilized to predict ESG ratings. Previous works also largely focus on using only the financial information of individual companies to predict ESG ratings, leaving out the different types of inter-company relationship networks. Such inter-company relationship networks are typically dynamic, i.e., they evolve across time. In this paper, we focus on utilizing dynamic inter-company relationships for ESG ratings prediction, and examine the relative importance of different financial and dynamic network information in this prediction task. Our analysis shows that utilizing dynamic inter-company network information, based on common director, common investor and news event-based knowledge graph relationships, can significantly improve ESG rating prediction performance. Robustness checks over different time-periods and different number of time-steps in the future further validate these insights. Collapse

Topics: shapley additive explanation knowledge graph database system missing data network effect

Methods: machine learning econometric modeling longitudinal research Granger causality robustness check

Uniting Through Difference: Rich Cultural-Identity Expression as a Conduit to Inclusion

2023 | Organization Science | Citations: 0

Authors: Arnett, Rachel D.

Abstract: Although previous research suggests that bringing attention to minority cultural ... Expand

Abstract: Although previous research suggests that bringing attention to minority cultural identities in the workplace can lead to professional penalties, this research provides promising evidence that the opposite can occur. I examine how cultural minority employees engaging in rich and meaningful conversations about their racial, ethnic, and national backgrounds (referred to as rich cultural-identity expression) influences majority-group coworkers’ inclusive behaviors, such as majority-group employees’ willingness to socially integrate with and professionally support minority coworkers. Three experiments found evidence of majority-group employees behaving more—not less—inclusively toward minority coworkers who engaged in rich cultural-identity expression, as opposed to small talk that did not bring attention to a minority cultural background. Even when minority employees richly expressed negatively valenced cultural information that could provoke anxiety (such as issues with discrimination), this form of sharing had positive effects on most measures of inclusive behavior in Studies 2 and 3 (although one exception was found in Study 3). No benefits were observed when minority employees engaged in surface-level cultural-identity expression (Studies 2 and 3) and intimate, noncultural self-disclosure (Study 2). The power of rich cultural-identity expression is its ability to increase majority-group individuals’ status perceptions of, feelings of closeness to, and sense of learning potential from minority coworkers. This research provides promising evidence that minority employees may be able to express valued aspects of their cultural identities while gaining—as opposed to jeopardizing—inclusion. Funding: This work was supported by the Wharton Behavioral Laboratory and the Wharton Dean’s Research Fund. Supplemental Material: The e-companion is available at https://doi.org/10.1287/orsc.2022.1648. Collapse

Topics: electronic mail accounting identity management IT career pandemic

Methods: experiment survey ANOVA parametric test data transformation