Results

Found 269 articles

Clear filters

Boundary Reinforcement in Multisided Platforms: A Configurational Analysis of External Conditions

2023 | HICSS | Citations: 1
Authors: Akinyemi, John Patrick; Jarvenpaa, Sirkka; Ozer, Gorkem Turgut

Abstract: This article contributes to the discussion on the governance dynamics of platfor ... Expand

Abstract: This article contributes to the discussion on the governance dynamics of platform ecosystems. We take a broad perspective to understand how the environment beyond the platform ecosystem (i.e., external conditions) shapes the actions of the platform and its various actors in reinforcing platform boundaries. Prior work explored how external influences, such as societal norms and national and local regulations, influence platform ecosystems, including external competitive pressures. But studies on the broader set of potential influences from external conditions are lacking; in particular, a study of such conditions and their influence across platforms in light of boundary reinforcement is called for. Boundary reinforcement is critical for the identity and legitimacy of a platform and for longer-term platform sustenance. Using a fuzzy-set qualitative configurational analysis (fsQCA) method with input coded from 271 peer-reviewed research articles covering 29 platforms, we offer a model detailing how external conditions influence a platform's boundary reinforcement actions. Collapse

Semantic filters: fuzzy set theory

Topics: digital ecosystem fuzzy logic Upwork software developer legal information system

Methods: literature sample longitudinal research fuzzy set qualitative comparative analysis triangulation

Theories: fuzzy set theory management theory theory of abduction
Data governance and the secondary use of data: The board influence
PDF
2023 | Information and Organization | Citations: 0
Authors: Black, Stuart; Davern, Michael; Maynard, Sean B.; Nasser, Humza

Abstract: The business analytics and strategic management literatures suggest that organiz ... Expand

Abstract: The business analytics and strategic management literatures suggest that organizations should seek to exploit data as a key mechanism for competitive advantage. However, the rules of engagement are evolving, the regulatory landscape is becoming increasingly complex, and ex amples of poor outcomes are increasingly common. The board – in its role of setting and moni toring risk appetite – needs to be able to govern the risk/reward trade-off of the data asset. Contemporary data governance approaches are inadequate: they are overly rigid and risk ori ented, limited in scope to an organization’s self-interest rather than considering the broad set of stakeholders, and do not provide a platform for the board to manage this critical risk. This paper uses a unique set of informants – 41 board directors – to demonstrate that differences in board perspectives influence how organizations explore the secondary use of data. Furthermore, this paper identifies a set of relevant individual, organizational and environmental factors and pre sents empirically based configurations of these factors that lead organizations to consider (or neglect) the secondary use of data as a critical enabler of competitive advantage. Collapse

Semantic filters: fuzzy set theory

Topics: data governance competitive advantage IT governance fuzzy logic strategic management

Methods: qualitative interview qualitative coding theory development mixed method personal interview

Theories: contingency theory fuzzy set theory transaction cost economics dynamic capabilities theory theory of everything
Factors Affecting the Use of Blockchain Technology in Humanitarian Supply Chain: A Novel Fuzzy Large-Scale Group-DEMATEL
PDF
2023 | Group Decision and Negotiation | Citations: 0
Authors: Chen, Lu; Hendalianpour, Ayad; Feylizadeh, Mohammad Reza; Xu, Haiyan

Abstract: Based on previous evidence, the use of blockchain for improving Supply Chains (S ... Expand

Abstract: Based on previous evidence, the use of blockchain for improving Supply Chains (SCs) regarding humanitarian projects has received attention over the past five years. The present study is innovative in investigating crucial parameters affecting the using of Blockchain Technology (BT) in Humanitarian Supply Chains (HSCs). More precisely, this study emphasizes parameters that affect blockchain in the HSCs and presents a new fuzzy large-scale group decision-making trial and evaluation laboratory (fuzzy large-scale group-DEMATEL) approach to analyze the interdependence of contributing factors for using BT in HSCs. This method consists of two stages: (1) clustering the large-scale group-experts into small subgroups by their characteristics, and (2) identifying the key factors affecting BT in HSCs with a novel fuzzy large-scale group-DEMATEL approach. According to experts, in this study, among the 25 evaluated factors, disintermediation has been identified as the most important one, followed by anonymity and security. A closer look reveals that 13 and 12 factors have been “cause” and “effect” factors, respectively. Our research can be used to promote the effectiveness of using BT in HSCs, so as to promote the proper distribution of relief materials in practical disasters. Collapse

Semantic filters: fuzzy set theory

Topics: blockchain database system risk management anonymity decision making

Methods: cluster analysis computational algorithm cross sectional research literature study

Theories: fuzzy set theory
A Configurational Set-Theoretic Approach to an Innovation Capability Maturity Model

2023 | Americas Conference on Information Systems | Citations: 0
Authors: Gräubig, Dix; Bley, Katja

Abstract: Constantly evolving economic demands caused by phenomena such as digital transf ... Expand

Abstract: Constantly evolving economic demands caused by phenomena such as digital transformation necessitate businesses and their underlying models to adapt. One possible solution for enhancing innovation potential and increasing revenue is implementing an innovation capability maturity model. This research replicates an existing maturity model development approach, which accounts for the unique characteristics of a class of companies based on their size and sector. Thus, by using a data-driven method, we provide an innovation capability maturity model for small industrial companies. We identified 21 combinations of factors that can affect innovation capability maturity, grouped into a knowledge and organizational dimension. Using a set-theoretic approach, we identified configurations of these factors that lead to low, medium, and high levels of innovation capability maturity. Based on these findings, we support an empirically driven, set-theoretic approach for developing a maturity model that can be used for higher applicability and representativity in individual classes of companies. Collapse

Semantic filters: fuzzy set theory

Topics: innovation management research and development fuzzy logic business model business process management

Methods: structured literature research descriptive statistic design science longitudinal research maturity model

Theories: fuzzy set theory knowledge based theory of the firm balance theory
Effects of Intellectual and Social Alignment on Organizational Agility: A Configurational Theory Approach
PDF
2023 | Journal of the Association for Information Systems | Citations: 0
Authors: Hu, Hao; Wang, Nianxin; Liang, Huigang

Abstract: Literature has shown that business-information technology (IT) alignment can exe ... Expand

Abstract: Literature has shown that business-information technology (IT) alignment can exert both positive and negative influences on organizational agility, giving rise to the IT alignment-agility paradox. To better understand this paradox at a more granular level, we conceptualize the sensing and responding dimensions of organizational agility as two independent constructs and suggest a nonlinear analytical approach. Based on configurational and contextual perspectives, this study investigates how intellectual and social alignment and organizational and environmental elements combine into multiple configurations to affect sensing and responding capabilities. Fuzzy-set qualitative comparative analysis (fsQCA) is used to analyze the survey data from 135 dyads of business and IT executives from the Chinese shipbuilding industry. Results show that different equifinal pathways can be used to achieve high sensing and responding capabilities, in which intellectual and social alignment play heterogeneous roles depending on the specific contexts. This study extends the ITenabled agility literature by deepening our understanding of the effects of multidimensional IT alignment on multidimensional organizational agility and providing new insights into the IT alignment-agility paradox. Collapse

Semantic filters: fuzzy set theory

Topics: IT alignment IT manager strategic management fuzzy logic IT skill

Methods: survey data transformation chi squared test survey design confirmatory factor analysis

Theories: fuzzy set theory information systems theory
A probabilistic approach to information management of order fulfilment reliability with the help of perfect-order analytics
PDF
2023 | International Journal of Information Management | Citations: 0
Authors: Lukinskiy, Valery; Lukinskiy, Vladislav; Ivanov, Dmitry; Sokolov, Boris; Bazhina, Darya

Abstract: Supplier reliability and order fulfilment performance are usually assessed using ... Expand

Abstract: Supplier reliability and order fulfilment performance are usually assessed using a perfect-order calculation. In formation management of perfect-order estimation is frequently reduced to expert estimates and to the multi plication of probabilities of failure-free performance of some logistics operations. Moreover, perfect-order estimation is calculated without consideration of supply chain structure, possible combinations of failures, and operational policies (e.g., safety stock levels and alternative transportation routes). As a result, the existing methods frequently provide different estimates for the same statistics and cannot be consistently used in the allocation of companies’ resources to improve the order fulfilment process. This paper considers different var iants of probabilistic assessment of a perfect order and proposes an approach to assess the impact of changes in parameter probabilities and number of parameters on the value of a perfect order. The proposed models are based on an analytical approach using discrete distributions of random variables. We illustrate the applicability of our approach to several numerical examples to confirm the adequacy of the proposed method. Our approach can be immediately applied in practice to assess supply and order fulfilment process reliability and to evaluate the effectiveness of various operational policies (safety stock levels or modes of transportation) to achieve some planned values of a perfect order in the supply chain. Collapse

Semantic filters: fuzzy set theory

Topics: supply chain management logistics management information exchange backup information system use

Methods: experiment literature study computational algorithm survey mixed method

Theories: fuzzy set theory
Ranking Objects from Individual Linguistic Dual Hesitant Fuzzy Information in View of Optimal Model-Based Consistency and Consensus Iteration Algorithm
PDF
2023 | Group Decision and Negotiation | Citations: 0
Authors: Meng, Fanyong; Zeng, Aiqing; Tang, Jie; Pedrycz, Witold

Abstract: Linguistic variables are flexible and intuitive attraction for expressing the wo ... Expand

Abstract: Linguistic variables are flexible and intuitive attraction for expressing the wording of decision makers. This paper introduces a new type of linguistic fuzzy sets called linguistic dual hesitant fuzzy sets to express the hesitancy of decision makers’ qualitative preferences and non-preferences. Considering the application in decision making, linguistic dual hesitant fuzzy preference relations (LDHFPRs) are introduced that permit the decision makers to apply several linguistic variables to indicate a qualitative preferred judgment and a qualitative non-preferred judgment, respectively. To rank objects from LDHFPRs rationally, a consistency concept is first presented. Then, two optimal models are built to judge the consistency of LDHFPRs. When LDHFPRs are inconsistent, an optimal model-based iteration algorithm for obtaining consistent LDHFPRs is offered. Based on consistent linguistic intuitionistic fuzzy preference relations, a method for calculating the weighted linguistic intuitionistic fuzzy priority vector is introduced. In the setting of group decision making (GDM), a consensus measure based on individually weighted consistent reverse complementary linguistic intuitionistic fuzzy preference relations is defined. When the consensus does not satisfy the requirement, a two-step optimal model-based method for increasing the consensus level is offered. Furthermore, an approach for GDM with LDHFPRs is developed. Finally, an illustrative example concerning the evaluation of basic services internet enterprise websites is provided to show the efficiency of the new method. Collapse

Semantic filters: fuzzy set theory

Topics: internet technology decision making website fuzzy logic

Methods: computational algorithm hierarchical linear modeling VIKOR method trade-off analysis method

Theories: fuzzy set theory
Online Gaming and Personality: Explaining Gamers' Cheating Intention (CC BY-NC-ND 4.0)

2023 | HICSS | Citations: 0
Authors: Menzel, J.; Meier, M.; Maier, C.

Abstract: Cheating in online games poses a risk to game publishers, as it deters other ga ... Expand

Abstract: Cheating in online games poses a risk to game publishers, as it deters other gamers and reduces revenues. These facts make it essential for game publishers to understand 'who' in the sense of gamers with what personalities have cheating intentions. Building on psychology research, we draw on (a) the big five personality traits and (b) the dark triad personality traits to explain how these reflect gamers' personalities and together lead to cheating intentions. Following a configurational approach (N=192), we reveal two configurations leading to high cheating intention and one leading to low cheating intention. We contribute to online gaming research by revealing that gamers with cheating intentions have specific personalities. We advance information systems (IS) personality research by combining broad and dark triad traits to explain divergent behavior like cheating. Collapse

Semantic filters: fuzzy set theory

Topics: personality online game fuzzy logic

Methods: descriptive statistic survey fuzzy set qualitative comparative analysis computational algorithm post-hoc analysis

Theories: big five model fuzzy set theory
The Heterogeneous Effects of Remote Patient Monitoring on Patients with Chronic Heart Conditions

2023 | Americas Conference on Information Systems | Citations: 0
Authors: Olivera, William; Baird, Aaron; Mathiassen, Lars; Xia, Yusen

Abstract: ... Expand

Abstract: Collapse

Semantic filters: fuzzy set theory

Topics: accounting fuzzy logic

Methods: machine learning theory development machine learning method econometric modeling longitudinal research

Theories: fuzzy set theory punctuated equilibrium theory
Evaluation of metaverse integration alternatives of sharing economy in transportation using fuzzy Schweizer-Sklar based ordinal priority approach
PDF
2023 | Decision Support Systems | Citations: 0
Authors: Pamucar, Dragan; Deveci, Muhammet; Gokasar, Ilgin; Delen, Dursun; Köppen, Mario; Pedrycz, Witold

Abstract: Sharing economy transportation applications reduce car ownership and single-vehi ... Expand

Abstract: Sharing economy transportation applications reduce car ownership and single-vehicle occupancy, contributing to the region’s environmental sustainability. Metaverse is a promising new technology that combines sharing economy applications with transportation networks. By combining these two approaches, authorities can improve the sustainability of sharing economy applications. This study aims to assist decision-makers and au thorities by developing a multi-criterion decision-making (MCDM) model that prioritizes three sharing economybased metaverse integration alternatives, namely integrating safety measures, payment systems, and the opti mization of operations in the metaverse. A novel multi-criteria framework, including fuzzy Schweizer-Sklar norms based on the Ordinal Priority Approach (OPA) to assess the metaverse integration alternatives, is developed. To rank the alternatives, non-linear processing of information based on the fuzzy Schweizer-Sklar weight assessment method (SWAS) is proposed. A case study is developed to provide a foundation for the ex perts’ evaluations using twelve criteria, which are organized into four aspects namely, economic, user, opera tional, and advancement. Finally, the results indicate that the most favorable approach is optimized operations via the integration of the sharing economy into the metaverse. Collapse

Semantic filters: fuzzy set theory

Topics: virtual reality sharing platform decision making electronic payment fuzzy logic

Methods: computational algorithm descriptive statistic case study simulation expert evaluation

Theories: fuzzy set theory

Page 1 of 27 Next

AIS11

Journals

Conferences

Semantic Filter

Found 269 articles

Boundary Reinforcement in Multisided Platforms: A Configurational Analysis of External Conditions

Data governance and the secondary use of data: The board influence

Factors Affecting the Use of Blockchain Technology in Humanitarian Supply Chain: A Novel Fuzzy Large-Scale Group-DEMATEL

A Configurational Set-Theoretic Approach to an Innovation Capability Maturity Model

Effects of Intellectual and Social Alignment on Organizational Agility: A Configurational Theory Approach

A probabilistic approach to information management of order fulfilment reliability with the help of perfect-order analytics

Ranking Objects from Individual Linguistic Dual Hesitant Fuzzy Information in View of Optimal Model-Based Consistency and Consensus Iteration Algorithm

Online Gaming and Personality: Explaining Gamers' Cheating Intention (CC BY-NC-ND 4.0)

The Heterogeneous Effects of Remote Patient Monitoring on Patients with Chronic Heart Conditions

Evaluation of metaverse integration alternatives of sharing economy in transportation using fuzzy Schweizer-Sklar based ordinal priority approach