Convergence and digital fusion lead to competitive differentiation
Notice bibliographique
Résumé
Purpose Organizations are consistently seeking innovative strategies and novel pathways to enhance business processes and create differentiation. The global business ecosystem is changing and there is growing demand for multi-modal digital technologies, big data consolidation and data analytics to harness a cost-competitive agile system. Technological convergence and integration of digital systems is one of the preferred methodologies that facilitates new and effective workflows and revives business processes. The progressive interlinking of digital technologies with business operations leads to the convergence and blending of management disciplines, devices and applications. The growing inconsistencies in managerial understanding regarding the benefits of convergence prompts a comprehensive examination of digital convergence pathways, identifying the impacts on converging entities and business objectives. The State bank of India (SBI) mega-merger case study was selected to investigate the pragmatic framework of digital convergence and to understand the impacts on interlinked entities such as: business operations, strategic management, project team that support value creation and competitive differentiation. The purpose of this paper is to focus on the phenomena of techno-fusion of emerging technologies creating new opportunities, business models and unique strategies for global banking and financial service organizations. Design/methodology/approach This study applies the qualitative, inductive research method using critical reflection of before and after the implementation of convergence and digital integration strategies. The SBI case study employs this research strategy based on the premise that banks must stay agile and highly responsive to the changing environment to enhance its value proposition and competitive differentiation objectives. The study methodology incorporates cooperative inquiry and multiple levels of analysis using data collection techniques of exhaustive review of archives, informal interviews, questionnaires and observations to identify the synergistic process improvement pathway. The study is grounded on the concept that the convergence of diverse business pathways involves innovative and interlinked project, strategic and information technology (IT) workflows that results in open innovative systems. Findings The studies identify that organizational innovation and creative solutions are a result of ecosystem turbulence, environmental force diversity, competitive pressure and the need for differentiation. Organizations that harness the power of digital fusion and convergence of management, systems and data generate a competitive advantage. The technological convergence strategy pulls multiple business and technology processes (project, strategic, IT, Cloud, AI and business process management) at the organizational, divisional or functional level generating new opportunities and threats, new business models and unique growth strategies for global banking and financial services organizations. Organizations that fully integrate techno-fusion of business and digital strategies produce synergistic effects and enhance adaptability, innovation and resiliency in the face of competitive challenges. Research limitations/implications Additional areas that can be explored further as an extension of this study are listed below: identifying factors to improve the speed of convergence; the current results are limited to large size organizations where formal management and technology functions are distinctive. Similar studies on smaller organizations are warranted. Originality/value This study focuses on the evolving field of technology innovation, which is increasingly being intertwined with business operations. Innovative digital technology is enabling the convergence of the disciplines of management, digital devices and applications. This facilitates the creation of a pragmatic framework that supports convergence of business operations, strategic management and digital fusion which leads to value creation and competitive differentiation. The techno-fusion of emerging technologies and digital strategies generates new opportunities and threats, new business models and unique growth strategies for organizations.
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,007 | 0,012 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,001 |
| Bibliométrie | 0,004 | 0,004 |
| Études des sciences et des technologies | 0,006 | 0,024 |
| Communication savante | 0,017 | 0,017 |
| Science ouverte | 0,001 | 0,020 |
| Intégrité de la recherche | 0,002 | 0,003 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,007 | 0,001 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».