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1 – 10 of 20Luna Leoni, Ginetta Gueli, Marco Ardolino, Mateus Panizzon and Shivam Gupta
This paper aims to provide empirical evidence on adopting artificial intelligence (AI), including generative AI, in knowledge management (KM) processes and its impact on…
Abstract
Purpose
This paper aims to provide empirical evidence on adopting artificial intelligence (AI), including generative AI, in knowledge management (KM) processes and its impact on organisational decision-making. Specifically, the study addresses three key research questions: RQ1: How is (generative) AI adopted within KM processes in organisations? RQ2: What factors influence the adoption of AI in these processes, either facilitating or inhibiting it? RQ3: How does AI adoption in KM processes affect organisational decision-making?
Design/methodology/approach
An explorative investigation has been conducted through semi-structured interviews with KM and AI experts from a worldwide sample of 52 mostly private, large and for-profit organisations. Interviews have been analysed through a mixed thematic analysis.
Findings
The study provides an original framework in which the three investigated concepts are interconnected according to a dual relationship: linear and retroactive and 20 factors affecting AI adoption within KM processes.
Practical implications
The provided model guides managers in improving their organisational decision-making through AI adoption in KM processes. Moreover, according to the rational decision-making model, the authors propose a six-step systematic procedure for managers.
Originality/value
To the best of the authors’ knowledge, this is the first study that simultaneously addresses AI, KM and decision-making and provides an integrated framework showing the relationships between them, allowing organisations to better and practically understand how to ameliorate their decision-making through AI adoption in KM processes.
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This paper aims to develop a conceptual framework that jointly considers Environmental, Social and Governance (ESG) factors and organisational resilience (OR) components to…
Abstract
Purpose
This paper aims to develop a conceptual framework that jointly considers Environmental, Social and Governance (ESG) factors and organisational resilience (OR) components to ameliorate organisations' understanding of sustainability’s overall requirements and related decision-making processes.
Design/methodology/approach
This paper combines ESG and OR through a 3x3 conceptual matrix, where ESG factors are listed along the vertical axis and OR components along the horizontal axis. This results in nine quadrants, which have been read according to two arrangements: (1) static, looking at the specific characteristics of each single quadrant, and (2) dynamic, investigating the relationships between the different quadrants according to the system theory (ST) lens.
Findings
The integration between ESG and OR results in nine organisational typologies, each characterised by a specific focus: (1) green visioning, (2) eco ethos, (3) climate guard, (4) inclusive strategy, (5) empathy ethos, (6) community shield, (7) ethical blueprint, (8) integrity ethos and (9) compliance guard. These typologies and related focuses determine the different strategic options of organisations, the decision-making emphasis concerning ESG factors and OR components and the organisation’s behaviour concerning its internal and external environment. According to ST, the nine typologies interact with each other, emphasising the existence of interconnectedness, interdependence and cascading effects between ESG and OR.
Originality/value
The paper represents a unique attempt to interrelate ESG factors and OR components according to a ST lens, emphasising the dynamic nature of their interactions and organisations’ need for continuous adaptation and learning to make decisions that create sustainable long-term value.
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Despite the widespread application and implementation of servitization strategy by manufacturing firms worldwide, little attention has been devoted to its adoption by…
Abstract
Purpose
Despite the widespread application and implementation of servitization strategy by manufacturing firms worldwide, little attention has been devoted to its adoption by European-Mediterranean countries, such as Italy. Thus, the purpose of this paper is to fill this gap by investigating if and how Italian manufacturing firms adopt a servitization strategy.
Design/methodology/approach
According to the paper’s aim, the survey methodology has been chosen and a specific questionnaire has been constructed by adopting and adapting the questions used by Baines et al. (2010). Key respondents were CEOs and General Managers of the manufacturing firms surveyed.
Findings
Findings show the main features and determinants of the adoption of a servitization strategy by Italian manufacturers as well as a comparison between them and UK manufacturers, determining both theoretical and practical implications.
Research limitations/implications
This paper investigates the manufacturing firms located exclusively in the Italian region of Lazio. Thus, even though it is reasonable to believe that they can be considered as representative of the Italian reality, future enrichment of the sample could provide further insights into the investigation of the Italian case.
Originality/value
The paper examines the little-researched adoption of servitization by Italian manufacturing firms, contributing to the servitization research and providing evidence on its trends in a specific European-Mediterranean region.
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Silvia Baiocco, Luna Leoni and Paola Maria Anna Paniccia
This paper aims to enhance understanding of how sustainable entrepreneurship (SE) contributes to sustainable development in the tourism sector. To do so, specific factors that act…
Abstract
Purpose
This paper aims to enhance understanding of how sustainable entrepreneurship (SE) contributes to sustainable development in the tourism sector. To do so, specific factors that act as enablers or inhibitors of SE are identified according to a co-evolutionary lens.
Design/methodology/approach
A co-evolutionary explanation of the firm? Environment relationship is adopted to undertake a qualitative empirical study of the Castelli Romani tourism destination (Italy), via 23 semi-structured interviews according to a narrative approach.
Findings
The paper demonstrates that entrepreneurs play a crucial role in sustainable development but cannot act in isolation. In fact, according to the co-evolutionary approach, they influence and are influenced by 20 factors. Accordingly, SE can be conceptualised as resulting from effective co-evolutionary interactions between micro (i.e. entrepreneurs and their firm), meso (i.e. the destination where tourism firms are based) and macro (i.e. the wider socio-economic and natural system) levels.
Practical implications
Several actions are suggested to entrepreneurs and policymakers to help achieve specific sustainable development goals. These actions focus on: (1) training courses, (2) investments in technologies, (3) creation of innovative business models, (4) exploitation of cultural and natural resources, (5) community involvement and (6) multi-level partnerships.
Originality/value
This is the first study that adopts a co-evolutionary lens to investigate the influencing factors of SE in tourism, shedding light on the effects of their dynamic interdependence. Thus, it provides a more nuanced SE conceptualisation that takes a holistic and dynamic view of sustainability.
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Luna Leoni, Matteo Cristofaro, Koteshwar Chirumalla and Stephen Dobson
Luna Leoni, Marco Ardolino, Jamal El Baz, Ginetta Gueli and Andrea Bacchetti
This paper aims to provide and empirically test a conceptual model in which artificial intelligence (AI), knowledge management processes (KMPs) and supply chain resilience (SCR…
Abstract
Purpose
This paper aims to provide and empirically test a conceptual model in which artificial intelligence (AI), knowledge management processes (KMPs) and supply chain resilience (SCR) are simultaneously considered in terms of their reciprocal relationships and impact on manufacturing firm performance (MFP).
Design/methodology/approach
In the study, six hypotheses have been developed and tested through an empirical survey administered to 120 senior executives of Italian manufacturing firms. The data analysis has been carried out via the partial least squares structural equation modelling approach, using the Advanced Analysis for Composites 2.0 variance-based software program.
Findings
Using a conceptual model validated using an empirical survey, the study sheds light on the relationships between AI, KMPs and SCR, as well as their impacts on MFP. In particular, the authors show the positive effects of the adoption of AI on KMPs, as well as the influence of KMPs on SCR and MFP. Finally, the authors demonstrate that KMPs act as a mediator through which AI affects SCR and MFP.
Practical implications
This study highlights the critical role of KMPs for manufacturing firms that can deploy AI to stimulate KMPs and through attaining a high level of the latter might succeed in enhancing both their SCR and MFP.
Originality/value
This study demonstrates that manufacturing firms interested in properly applying AI to ameliorate their performance and resilience must carefully consider KMPs as a mediator mechanism.
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Matteo Cristofaro, Luna Leoni and Pier Luigi Giardino
This paper aims to empirically investigate how cognitive biases influence employees' product creativity (EPC) and related product performance. In particular, the paper primarily…
Abstract
Purpose
This paper aims to empirically investigate how cognitive biases influence employees' product creativity (EPC) and related product performance. In particular, the paper primarily studies (1) the direct effect of employees' implicit creativity – based on five cognitive biases – and explicit creativity on EPC; and (2) the mediating role of coworkers' heuristic transfer between shared leadership and EPC.
Design/methodology/approach
Data have been obtained from big Italian manufacturing technology firms through a series of online questionnaires that resulted in 555 answers from R&D employees and their direct managers, who are, respectively, involved and responsible for the proposal of manufacturing technology products. The developed four theoretical hypotheses have been tested through correlation analysis, hierarchical regression, mediation analysis and structured equation modelling.
Findings
Cognitive biases positively influence EPC in manufacturing technology firms, leading to positive product performance. In particular, implicit creative personality better predicts EPC than explicit creative personality; whilst, shared leadership leads to a cognitive convergence among co-workers through the spread of heuristics that positively influence EPC.
Originality/value
The originality of this work lies in having: (1) investigated the influence of cognitive biases in creativity, (2) hypothesized and proved that co-workers' heuristic transfer mediates the relationship between shared leadership and EPC; (3) conducted the first specific study on employees' creativity in manufacturing technology firms; and (4) first implemented the implicit creative personality measurement, apart from those who conceptualized it.
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Ivo Hristov, Matteo Cristofaro, Riccardo Camilli and Luna Leoni
This paper aims to (1) identify the different performance drivers (lead indicators) and outcome measures (lag indicators) investigated in the literature concerning the four…
Abstract
Purpose
This paper aims to (1) identify the different performance drivers (lead indicators) and outcome measures (lag indicators) investigated in the literature concerning the four balanced scorecard (BSC) perspectives in operations management (OM) contexts and (2) understand how performance drivers and outcome measures (and substantiated perspectives) are related.
Design/methodology/approach
We undertake a systematic literature review of the BSC literature in OM journals. From the final sample of 40 articles, performance drivers and outcome measures have been identified, and the relationships amongst them have been synthesised according to the system dynamics approach.
Findings
Findings show (1) the most relevant performance drivers and outcome measures within each BSC perspective, (2) their relationships, (3) how the perspectives are linked through the performance drivers and outcome measures and (4) how the different measures relate systemically. Accordingly, four causal loops amongst identified measures have been built, which – jointly considered – allowed for the creation of a dynamic strategy map for OM.
Originality/value
This study is the first one that provides a comprehensive and holistic view of how the different performance drivers and outcome measures within and between the four BSC perspectives in OM relate systemically, increasing the knowledge and understanding of scholars and practitioners.
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Keywords
– The purpose of this paper is to explore how knowledge management systems can support the adoption of the servitization strategy in a manufacturing firm.
Abstract
Purpose
The purpose of this paper is to explore how knowledge management systems can support the adoption of the servitization strategy in a manufacturing firm.
Design/methodology/approach
In order to reach the paper aim, an inductive single-case study has been adopted. The analysis focuses on the IBM Corporation.
Findings
In spite of the paucity of studies that simultaneously address both servitization and knowledge management topics, the case study findings show five connections points between the two streams of research, proving not only that they are closely connected to each other, but also how the adoption of a good knowledge management system can facilitate the implementation of a servitization strategy.
Research limitations/implications
As far as the adoption of a single-case study is concerned, this could create biases that can affect the final product in terms of reliability, validity, and generalizability. However, as stated by Erickson (1986), the general lies in the particular and, as argued by Flyvbjerg (2006), the strength of a single example is underestimated in its contribution to scientific progress. Thus, even though this paper is based on a single-case study, it is reasonable to believe that it could be considered as a representative case of companies of the time and its findings sufficiently generalizable.
Practical implications
Case study findings could guide managers towards understanding if their knowledge management tools and practices are appropriate, or if they need to be modified in order to successfully implement the servitization strategy adopted.
Originality/value
This study represents the first attempt to fill the paucity of studies contemporaneously addressing both servitization and knowledge management topics, and could be used as a pilot case for future research works.
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