Dynamic Capabilities in Cybersecurity Intelligence: A Meta-Synthesis to Enhance Protection Against Cyber Threats

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

Authors: Pigola, Angélica; Costa, Priscila da

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Topics: IT security data security database system innovation management IT security threat

Methods: case study synthesis design science maturity model capability maturity model integration

Theories: dynamic capabilities theory resource based view of the firm

Virtual integration in SMEs: The digitalization circuitry of dynamic strategic planning for SMEs

2023 | International Journal of Information Management | Citations: 0

Authors: Ojha, Divesh; Patel, Pankaj C.; Parida, Vinit

Abstract: Though digital technology adoption among SMEs is widely studied, a manifestation ... Expand

Abstract: Though digital technology adoption among SMEs is widely studied, a manifestation of digitalization – virtual integration, particularly its strategic benefits for SMEs – remains largely understudied. Virtual integration con­ nects and coalesces the interfaces of digitalization in SMEs. Though the need for externally oriented digitalization in SMEs is widely desired and espoused, virtual integration and the ensuing effect on Dynamic Strategic Planning (DSP) could be key factors in realizing higher performance. Using the information theory lens and knowledgebased view and a two-study empirical setup based on data from manufacturing and services firms, we draw on the Competence–Capability–Performance (CCP) framework. Specifically, we test a model of digitalization circuitry operational through the mediating effects of virtual integration and dynamic strategic planning (DSP). The ensuing interweaving effects of digitalization from virtual integration are manifest in DSP through fluid partnering, business continuity planning, and market acuity. We find that digitalization, manifested in the form of virtual integration, cascades through DSP to improve financial performance. Collapse

Topics: business continuity planning financial performance strategic management virtualization technology supply chain management

Methods: SEM tool theory development structural equation modeling survey statistical hypothesis test

Theories: dynamic capabilities theory knowledge based theory of the firm information theory

The Application of Role-Based Framework in Preventing Internal Identity Theft Related Crimes: A Qualitative Case Study of UK Retail Companies

2023 | Information Systems Frontiers | Citations: 0

Authors: Okeke, Romanus Izuchukwu; Eiza, Max Hashem

Abstract: This paper aims to examine the challenges of preventing internal identity theft ... Expand

Abstract: This paper aims to examine the challenges of preventing internal identity theft related crimes (IIDTRC) in the UK retail sector. Using an in-depth multiple case studies of a selected number of cross-functional management teams in the UK retail companies, management roles were analysed. We used semi-structured interview as a qualitative data collection technique and used Nvivo aided thematic analysis and interpretivism underpinned by Role-Based Framework (RBF) for analysis. Our findings revealed that vagueness of roles and lack of clarity in sharing data security responsibilities are the major challenges of preventing IIDTRC in UK retail companies. We suggest an application of RBF which provides a conceptual analysis for cross-functional management team to address the challenges of preventing IIDTRC. RBF enables clarity of shared roles where both information security and crimes prevention teams work in unison is required to prevent IIDTRC to maximise internal data security. Contributions for policymakers are offered in this paper. Collapse

Topics: criminality data security IT security outsourcing IT security threat

Methods: case study qualitative interview personal interview survey qualitative content analysis

Theories: organizational role theory

Disruptive Technologies as a Driver to Organizational Success. Organizational Culture Perspective

2023 | HICSS | Citations: 0

Authors: Olszak, C.; Pałys, M.

Abstract: There is a lot of evidence in the research literature that Information Technolo ... Expand

Abstract: There is a lot of evidence in the research literature that Information Technologies can play a crucial role in achieving competitive advantage, improving decisionmaking, and achieving organizational success. Unfortunately, research on exploring the issues of using Disruptive Technologies (DT) is still limited, especially studies into the relationship between the use of DT and organizational success.The main contribution of this study is to investigate the issue of DT's impact on organizational success, in particular identifying the benefits of using DT in organizations, as well as examining to what extent organizational culture can be a factor in enhancing organizational success.The study presents the results of research on the use of Disruptive Technologies carried out in 194 organizations, especially in the areas of DT usage and the benefits that organizations achieve from adopting them, as well as the impact of organizational culture on organizational success. Collapse

Topics: organizational success organizational culture business intelligence big data mobile system

Methods: survey self reported survey literature study

Training Machine Learning Models with Simulated Data for Improved Line Fault Events Classification From 3-Phase PMU Field Recordings

2023 | HICSS | Citations: 0

Authors: Otudi, H.; Mohamed, T.; Kezunovic, M.; Hu, Y.; Obradovic, Z.

Abstract: Utilizing data analytics and machine learning (ML) on phasor measurement units ... Expand

Abstract: Utilizing data analytics and machine learning (ML) on phasor measurement units (PMUs) data to analyze faults automatically is the focus of this paper. Insufficient labels and natural uneven distribution of different types of line fault events found in fieldrecorded PMU data make supervised ML model development challenging. To address this issue, we train off-the-shelf Support Vector Machine (SVM) ML models for line fault classification using simulated PMU data obtained from a combination of 12 physical and virtual PMUs placed on a synthetic IEEE 14-bus system as well as using this simulated data unified with field recordings. A conducted sensitivity study is focused on three factors, 1) the number of PMUs used to train the ML model, 2) the voltage level at which the model is trained, and 3) the vicinity of PMUs to transmission line faults. The ML models trained with simulated and field data are evaluated on one-year field-recorded data collected from 38 PMUs sparsely located in the US Western interconnection. We demonstrate that when training ML models with only simulated data, the performance varies significantly with different number of PMUs, voltage level, and PMU placement in separate areas of the synthetic grid (F1 score of 0.78 to 0.92). We obtained an F1 score of 0.94 using the simulated dataset integrated with field recordings. The performance of a ML model developed using simulated data is also evaluated on the three-phase voltage signals extracted from 188 PMUs in the Eastern interconnection accompanied by imprecise labels, where the majority of the labels do not identify the fault type. On this extremely challenging task, we achieved 77% accuracy solely using synthetic data for ML training. Collapse

Topics: Apache Spark analytical information system computer hardware

Methods: simulation machine learning support vector machine experiment event log

Recommendation Systems with Causal Inference-based Regularization

2023 | Americas Conference on Information Systems | Citations: 0

Authors: Padalkar, Nakul; Lima, Victor De

Abstract: Recommender systems have become integral to modern society, facilitating person ... Expand

Abstract: Recommender systems have become integral to modern society, facilitating personalized experiences across various platforms by allowing the offering of tailored content, products, and services. Current approaches for building such systems employ neural networks that overfit the training data and fail to generalize when tested on previously unseen data. Furthermore, recommender systems are fundamentally causal inference problems since they seek to forecast conditional relationships that describe a user's response to specific advertisements or products. In this paper, we comprehensively examine the matrix factorization model for recommendation systems using the MovieLens 25M dataset. We demonstrate the limitations of standard collaborative filtering and motivate the need for more suitable regularization. This research lays the foundation for future work incorporating causal inference into recommendation systems, which has garnered increasing support in recent literature for its potential to improve model performance. Collapse

Topics: recommender system collaborative filtering

Methods: computational algorithm optimization model experiment PyTorch literature study

Becoming a mother: A role learning perspective on the use of online community resources to facilitate a life-role transition

2023 | Information & Management | Citations: 0

Authors: Pai, Peiyu

Abstract: Transitioning into motherhood can be stressful and resource-intensive, filled wi ... Expand

Abstract: Transitioning into motherhood can be stressful and resource-intensive, filled with numerous concerns and un­ certainties during pregnancy, such as biological changes and unforeseen outcomes. Expectant mothers, those lacking prior motherhood experience, frequently seek solace within online communities, utilizing them as sources of social support to navigate the complexities of the first-time motherhood experience and to facilitate the exploration of their life-role transition. Drawing on role theory, conservation of resources theory, social support research, and socialization literature, this study explores how online communities can provide social resources for expectant mothers to facilitate their role learning, and examines the antecedents and outcomes of role learning. Based on a two-wave survey of 185 expectant mothers (pregnant with their first child), the results show that online community resources (i.e., informational support, emotional support, and social companion­ ship) positively impact role learning (conceptualized as a higher-order factor, including role meaning, role competence, and role internalization), and role learning significantly enhances their subjective well-being. Moreover, role learning fully mediates the links between each type of social support and subjective wellbeing. A better understanding of the social support mechanisms involved in role learning may empower healthcare providers to leverage the capabilities of social media, thereby offering effective guidance to pregnant women confronting uncertainties in their transition to new life-roles. Collapse

Topics: online community electronic mail personality problem solving

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

Theories: role theory conservation of resources theory

Catastrophe Bond Trading Can Boost Security Improving Cyber (Re-)Insurance Markets

2023 | Americas Conference on Information Systems | Citations: 0

Authors: Pal, Ranjan; Madnick, Stuart; Siegel, Michael

Abstract: The interdependent and correlated nature of cyber-risk is a cause of failed low ... Expand

Abstract: The interdependent and correlated nature of cyber-risk is a cause of failed low capital cyber (re-)insurance markets to improve cyber-security. In this paper, we propose the use of catastrophic (CAT) bonds as a radical and alternative residual cyber-risk management methodology to alleviate the big supply-demand gap in the current cyber (re-)insurance industry, by boosting capital injection in the latter industry. We lay down conditions under which it is feasible for a cyber-insurer to invest in (a) CAT bonds, and (b) cyber reinsurance services only -both (a) and (b) contributing to dense security-improving cyber insurance markets. Our main result proves that while the use of cyber-CAT bond instruments solves the capital injection problem in cyber (re-)insurance markets to improve enterprise cyber-security, the level of cost to mitigate IT/ICS client information asymmetry (IA) on enterprise cyber-posture is an important factor that can decide the density of cyber-CAT bond trading markets.This lack of much needed capital results in large market inefficiencies in cyber-risk diversification markets that does not allow the huge potential of cyber-insurance products to significantly boost security of enterprises and their ecosystems (Wolff 2022). These viewpoints have also been recently echoed by Zurich chief Mario Greco who feels that enterprise cyber-attacks (especially those on critical infrastructure) might become uninsurable with growing business disruptions due to them, subsequently adversely impacting the ability of residual cyber-risk management solutions to boost cyber-security in enterprise ecosystems 4 .The big question at hand then becomes: is there a way to boost capital injection in cyber (re-)insurance markets for the greater cyber-security benefit of society? We envision that insurance linked security (ILS) solutions such as catastrophe (CAT) bonds might just provide an answer to this all important question. This especially so with Beazley recently announcing the first cyber-CAT bond in January 2023 with the goal to create a dynamic market boosting cyber (re-)insurance services 5 .Research Goal and Contributions -Our research goal is to study the conditions under which a market for cyber-insurance linked securities (CILSs) can prosper to boost significant capital into the enterprise cyber (re-)insurance business. We have argued above on why such a boost is necessary to improve cyber-security in enterprise ecosystems. In other words, our research builds a bridge between the economics of ILS solutions and their impact on cyber-security improvement. Consequently, we propose the following contributions. Collapse

Topics: risk management IT security mobile system internet of things supply chain management

Theories: lemon market theory

Artificial intelligence for digital sustainability: An insight into domain-specific research and future directions

2023 | International Journal of Information Management | Citations: 0

Authors: Pan, Shan L.; Nishant, Rohit

Abstract: Recent research call for action on digital sustainability research could potenti ... Expand

Abstract: Recent research call for action on digital sustainability research could potentially contribute to achieving United Nations (UN) Sustainable Development Goals (SDG). In this opinion piece, we specifically focus on artificial intelligence (AI) as a technology that could help achieve digital sustainability. We identify six dimensions related to AI grounded in past literature: sensemaking, relationships among actors in the supply chain, green creativity skills, metrics, strategies, and AI tool improvement. We conceptualize several propositions for these six di­ mensions, highlighting the nuances associated with AI for digital sustainability to provide clear directions for future research. Collapse

Topics: artificial intelligence green IS sensemaking supply chain management Sustainable Development Goal

Methods: literature study literature sample artificial neural network deep learning computational algorithm

The nature of small business digital responses during crises

2023 | Information and Organization | Citations: 0

Authors: Parker, Craig; Bingley, Scott; Burgess, Stephen

Abstract: Small business revenues worldwide were drastically affected by lockdowns during ... Expand

Abstract: Small business revenues worldwide were drastically affected by lockdowns during the COVID-19 pandemic. As a result, many small businesses introduced new functionality through the adoption of digital technologies. However, little is known about the nature of these digital technology innovations, including whether they differed across industry sectors. Through a modified case study approach, we examine digital technology responses to the pandemic by small businesses that were identified in Google News. We introduce a new framework designed to describe the nature of the responses. Most small businesses that were examined introduced digital responses by offering new e-commerce facilities and/or converting their existing services to ‘e-services’, with some important cross sector exceptions. Practical suggestions for small businesses are provided. Collapse

Topics: pandemic electronic commerce website innovation management technology adoption

Methods: Google news case study theoretical contribution literature sample archival research

Theories: diffusion of innovations theory