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

Shaping the attitude towards information security- a social influence approach

2023 | Americas Conference on Information Systems | Citations: 0

Authors: Agrawal, Deepti; Davis, Joshua; Singh, Kulraj

Abstract: Employees play a vital role in organizational information security posture. Mos ... Expand

Abstract: Employees play a vital role in organizational information security posture. Most security breaches involve human elements such as stolen credentials, phishing scams, misuse, or simple errors from employees. As the threat landscape continues to put pressure on this aspect of organizational information security, there is an increasing need to effectively motivate employees towards desirable security attitudes and outcomes. Social influence has been found to help shape employees' information security attitudes. However, there is limited understanding of the roles different motivational processes can play in this context -which may have differential effect of employee attitudes towards security. In this study we use Kelman's social influence theory which proposes that an individual's attitudes are influenced by referent others through three processes -compliance, identification, and internalization. The study aims to provide valuable insights for researchers and practitioners alike. Collapse

Topics: social influence data security organizational value

Methods: survey conceptual modelling partial least squares path modeling PLS tool

Theories: social influence theory

Does Analytics Help Resolve Equivocality in the Healthcare Context? Contrasting the Effects of Analyzability and Differentiation

2023 | Journal of the Association for Information Systems | Citations: 0

Authors: Adjerid, Idris; Angst, Corey; Devaraj, Sarv; Berente, Nicholas

Abstract: Organizations are increasingly using data analytics to help make decisions and ... Expand

Abstract: Organizations are increasingly using data analytics to help make decisions and drive positive outcomes. But organizational scholarship has warned us that the sort of information processing associated with analytic capabilities, while effective for uncertainty reduction, may be less effective in equivocal contexts. Equivocality is evident when tasks are not easily analyzable (task analyzability) or when organizational departments are highly differentiated (differentiation). We hypothesize that analytics will be less effective in driving positive outcomes when equivocality is high because of low task analyzability. However, when an organization is more differentiated, resulting in high equivocality, we anticipate that analytics will be more effective in driving positive outcomes. To test this theory, we studied how clinical healthcare analytics influenced experiential quality (akin to patient satisfaction) in over 3,000 hospitals across nine years. Our results show that analytics capabilities, on average, do improve outcomes in terms of patient experiential quality, suggesting that analytics can reduce uncertainty, but we also found evidence for the moderating role of equivocality. Specifically, as task analyzability decreases (i.e., increasing equivocality), clinical healthcare analytics becomes less effective in improving experiential quality. However, when equivocality is high because of differentiation, there is a positive relationship between clinical healthcare analytics and experiential quality but only in larger hospitals. From a managerial perspective, this study has implications for boundary conditions of data analytics in organizations. Collapse

Topics: healthcare analytics technology adoption electronic health record health information system artificial intelligence

Methods: theory development post-hoc analysis experimental group longitudinal research machine learning

Theories: organizational information processing theory

Introduction to the Minitrack on Business Intelligence, Business Analytics, and Big Data: Innovation, Deployment, and Management

2023 | HICSS | Citations: 0

Authors: Ariyachandra, Thilini; Marjanovic, Olivera; Dinter, Barbara

Abstract: ... Expand

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Topics: IT security organizational value big data

Methods: action design research personal interview structured literature research

To Be or Not to Be Dynamic: Exploring Antecedents and Contextual Factors of Dynamic Capabilities

2023 | Americas Conference on Information Systems | Citations: 0

Authors: Asadiara, Amir; Farhadloo, Mohsen; Ahuja, Suchit

Abstract: Firms are known to struggle to find the best recipe for achieving different for ... Expand

Abstract: Firms are known to struggle to find the best recipe for achieving different forms of innovation, digital transformation, and superior performance based on their bundle of resources and strategies in the presence of various environmental factors that can pose new opportunities and threats. In this vein, although the dynamic capabilities (DC) framework can explain how firms address competitive advantage, especially in uncertain environments, it is still not clear how these capabilities are built. To fill this gap, we aim at investigating the antecedents of organizational dynamic capabilities and eventually presenting a big-picture framework that includes almost every internal and external factor that might play a role in the process of building organizational dynamic capabilities. By exploring the adoption of the affordance lens and considering the role of organizational strategic alignment, we lay the foundation for future research into the mechanisms and micro-foundations of dynamic capabilities. Collapse

Topics: affordance user experience IT alignment usability strategic management

Methods: design artifact theoretical contribution

Theories: dynamic capabilities theory theory of affordance

CAPABILITIES FOR DATA ANALYTICS IN INDUSTRIAL INTERNET OF THINGS (IIOT)

2023 | European Conference On Information Systems | Citations: 0

Authors: Bagheri, Samaneh; Dijkstra, Jesse

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Topics: analytical information system internet of things mobile system organizational value cloud computing

Methods: qualitative interview machine learning literature study personal interview computational algorithm

Value Implications of Sourcing Electronic Health Records: The Role of Physician Practice Integration

2023 | Information Systems Research | Citations: 0

Authors: Bardhan, Indranil R.; Bao, Chenzhang; Ayabakan, Sezgin

Abstract: Should hospitals source electronic health records (EHR) systems from a single ve ... Expand

Abstract: Should hospitals source electronic health records (EHR) systems from a single vendor or multiple vendors to deliver high-value care? We study hospitals’ EHR sourcing strategies based on their degree of integration with physician practices and its impact on the value of healthcare delivered. We propose a novel framework to define healthcare value as the extent to which a hospital effectively expends clinical resources to deliver services that improve patient outcomes. Drawing on modular systems and transaction cost economics theories, we propose a moderated-mediation model that explores the pathways through which EHR sourcing strategies can create value in healthcare. We test our research hypotheses on a large, longitudinal sample of U.S. hospitals and observe that hospitals with EHR configurations closer to single sourcing strategies exhibit greater health information sharing compared with hospitals with multisourced EHR systems. Furthermore, we find that hospital-physician practice integration moderates the impact of single sourcing on health information sharing, which in turn, improves value. Specifically, tighter integration between hospitals and physician practices can create greater value if it is aligned with hospitals’ EHR sourcing strategies. As the healthcare industry moves toward value-based payment reform, our findings provide a useful roadmap to practitioners and policy makers to improve the performance of hospitals and healthcare providers. History: Rajiv Kohli, Senior Editor; Sunil Wattal, Associate Editor. Funding: I.R. Bardhan thanks the Foster Parker Centennial Professorship and the Dean’s Research Excellence Grant at the McCombs School of Business at UT Austin for generous financial support. C. Bao thanks the Spears Fellowship at Oklahoma State University for financial support. Supplemental Material: The online appendix is available at https://doi.org/10.1287/isre.2022.1183. Collapse

Topics: information exchange healthcare data health information system accounting database system

Methods: longitudinal research survey robustness check econometric modeling design artifact

Theories: transaction cost economics general systems theory institutional theory

How have firms transformed and executed IT-enabled remote work initiatives during the COVID-19 pandemic? Conceptualization and empirical evidence from Spain

2023 | Information & Management | Citations: 0

Authors: Benitez, Jose; Castillo, Ana; Ruiz, Laura; Luo, Xin (Robert); Prades, Pedro

Abstract: This paper examines how firms have transformed and executed IT-enabled remote wo ... Expand

Abstract: This paper examines how firms have transformed and executed IT-enabled remote work initiatives during the COVID-19 pandemic. After examining archival data on a sample of 100 firms in Spain, we discover three types of IT-enabled remote work firm’s strategies: leader, agile, and survival. Leader companies have a competitive advantage over agile companies, which in turn have a competitive advantage over survival organizations. We find that firm size was crucial to executing remote work firm’s initiatives as a leader or survival. The industry significantly affected the implementation of remote work firm’s initiatives during the three pivotal periods in the telecommunications industry. Collapse

Topics: remote work IT supported collaboration pandemic competitive advantage organizational value

Methods: qualitative content analysis theory development partial least squares path modeling mediation analysis statistical power analysis

Theories: contingency theory resource based view of the firm organizational theory

A process mining maturity model: Enabling organizations to assess and improve their process mining activities

2023 | European Conference On Information Systems | Citations: 0

Authors: Brock, Jonathan; Löhr, Bernd; Brennig, Katharina; Seger, Thilo; Bartelheimer, Christian; Enzberg, Sebastian von; Kühn, Arno; Dumitrescu, Roman

Abstract: Organizations employ process mining to discover, check, or enhance process mode ... Expand

Abstract: Organizations employ process mining to discover, check, or enhance process models based on data from information systems to improve business processes. Even though process mining is increasingly relevant in academia and organizations, achieving process mining excellence and generating business value through its application is elusive. Maturity models can help to manage interdisciplinary teams in their efforts to plan, implement, and manage process mining in organizations. However, while numerous maturity models on business process management (BPM) are available, recent calls for process mining maturity models indicate a gap in the current knowledge base. We systematically design and develop a comprehensive process mining maturity model that consists of five factors comprising 23 elements, which organizations need to develop to apply process mining sustainably and successfully. We contribute to the knowledge base by the exaptation of existing BPM maturity models, and validate our model through its application to a real-world scenario. Collapse

Topics: process mining business process management knowledge base ease of use organizational value

Methods: maturity model design science survey event log literature study

How Top-Down AI Introduction Leads to Incremental Business Improvement

2023 | HICSS | Citations: 0

Authors: Brunnbauer, Matthias

Abstract: Artificial intelligence offers the opportunity for radical improvements such as ... Expand

Abstract: Artificial intelligence offers the opportunity for radical improvements such as completely new business solutions. It also enables the improvement of existing business. This paper reports on a case study that tests two strategies to identify AI use cases: top-down and bottom-up. The use cases are differentiated according to whether they promise incremental or radical business improvements and whether they are realizable in the short or long term. The top-down strategy identifies use cases that promise short-term but incremental improvements. They relate to existing business, but no disruptive ideas emerge. The bottom-up strategy allows for a broader understanding of AI’s potentials to improve business. Completely new and disruptive ideas emerge, but require huge upfront effort. Organizations best start with AI pilot projects that are feasible in the short term: Either by first applying a bottom-up strategy that is supplemented and evaluated with the top-down strategy, or top-down only. Collapse

Topics: artificial intelligence project management organizational value

Methods: case study