Journal of Business Research, Journal Year: 2024, Volume and Issue: 182, P. 114764 - 114764
Published: June 14, 2024
Language: Английский
Technological Forecasting and Social Change, Journal Year: 2023, Volume and Issue: 194, P. 122732 - 122732
Published: July 14, 2023
Language: Английский
Citations
89
Industrial Marketing Management, Journal Year: 2022, Volume and Issue: 105, P. 253 - 267
Published: June 24, 2022
Language: Английский
Citations
86
Journal of Innovation and Entrepreneurship, Journal Year: 2023, Volume and Issue: 12(1)
Published: Jan. 16, 2023
Abstract The coronavirus pandemic illustrated how rapidly the global environment could be disrupted on many levels but also drive an acceleration in others. Business leaders are grappling with dysfunctional business models that ill-equipped to manage disruptive of growing artificial intelligence. Hence, this study examined discontinuous shift scope and culture by exploring interdisciplinary streams literature. An integrative review methodology was used develop theoretical constructs relating model innovation services sector. Key propositions were continuum, a responsive value architecture, which inculcates sustainable creation proposition market advantage. Businesses must continuously evolve high end continuum reduce risk apathy strategic myopia. A key contribution interdependencies networks allow for collaborative working co-creation resources, such as crowdsourcing, crowdworking social media platforms. This showed importance centre excellence function at forefront technologies. finding need governance structures recognise trade-offs between drivers, sometimes may conflict societal benefits. revealed customer relationship management, intelligence had not been unified extant literature, makes paper novel its businesses struggling or opposed digital revolution.
Language: Английский
Citations
60
Technological Forecasting and Social Change, Journal Year: 2023, Volume and Issue: 191, P. 122478 - 122478
Published: March 23, 2023
Manufacturing firms are increasingly transforming toward digital servitization, characterized by convergence and simultaneous gains from digitalization servitization. Due to the marked academic practical relevance of we witnessing a significant upsurge in studies published on this emerging topic. Thus, present study undertakes comprehensive bibliometric analysis synthesize prior knowledge servitization and, more importantly, highlight areas for future research. The findings organized so that important authors organizations highlighted through analyses citation chains co-authorship networks. bibliographic coupling HistCite VOSviewer reveals emergence four dominant thematic literature. These aligning transformations, value co-creation perspectives conceptualizing platform strategy business model innovation Finally, based how literature has evolved over last two decades deeper analysis, raise research questions provide numerous
Language: Английский
Citations
57
Magna Scientia Advanced Research and Reviews, Journal Year: 2024, Volume and Issue: 10(2), P. 256 - 264
Published: April 27, 2024
In today's fast-paced and highly competitive business environment, digital transformation has emerged as a crucial driver of organizational success. This paper presents comprehensive review the intersection between model innovation, examining impact implementation strategies associated with this transformative process. The study begins by elucidating concept its significance in reshaping traditional models. It explores how advancements technologies, such artificial intelligence, big data analytics, Internet Things, have revolutionized various aspects operations, including customer engagement, operational efficiency, revenue generation. Furthermore, critically evaluates on emphasizing need for organizations to adapt evolve response changing market dynamics consumer preferences. Through systematic analysis relevant literature case studies, highlights key drivers, challenges, opportunities inherent leveraging technologies drive innovation. Moreover, examines different adopted effectively integrate initiatives into their existing discusses importance strategic planning, culture, leadership commitment driving successful initiatives. Overall, critical contributes deeper understanding role catalyst provides valuable insights practitioners, policymakers, researchers seeking navigate complex landscape disruption capitalize emerging growth competitiveness.
Language: Английский
Citations
52
Energy Economics, Journal Year: 2024, Volume and Issue: 132, P. 107499 - 107499
Published: March 20, 2024
Language: Английский
Citations
51
Journal of Product Innovation Management, Journal Year: 2023, Volume and Issue: unknown
Published: Sept. 26, 2023
Abstract Artificial intelligence (AI) is a promising generation of digital technologies. Recent applications and research suggest that AI can not only influence but also accelerate innovation in organizations. However, as the field rapidly growing, common understanding underlying theoretical capabilities has become increasingly vague fraught with ambiguity. In view centrality making happen, we bring together these scattered perspectives systematic multidisciplinary literature review. The aim this review to summarize role influencing provide taxonomy based on empirical studies. Drawing technological–organizational–environmental (TOE) framework, our condenses findings 62 results study are twofold. First, identify dichotomous triggered by adoption: enabling enhancing . those identifies enablers adoption, underscoring competencies routines needed implement AI. denote adoption transforming or creating Second, propose reflects practical relation three reasons: replace , reinforce reveal Our makes main contributions. either required for generated adoption. applications. Third, use TOE framework track trends contributions recent articles agenda.
Language: Английский
Citations
50
Journal of Open Innovation Technology Market and Complexity, Journal Year: 2023, Volume and Issue: 9(4), P. 100144 - 100144
Published: Sept. 29, 2023
The purpose of the study is to examine relationship between Competitive Pressure (CP), Top Management Commitment (TMC), Employee Adaptability (EA), External Support (ES), Organisation Readiness (OR) and Artificial Intelligence Adoption (AIA) among SMES operating in Sabah, Malaysia. By employing judgemental sampling a total 196 respondents were involved (i.e. owners or managers) varied SME sectors such as services, manufacturing, construction, agriculture, mining & quarrying. A survey questionnaire was used for data collection analysed using Smart PLS 4. results revealed that top management commitment organisation readiness have significant with AI adoption. However, competitive pressure, employee adaptability, external support an insignificant impact on This suggests organizations may benefit from focusing enhancing TMC OR practices improve Al outcomes. Overall, these findings can guide decision-making resource allocation, emphasizing importance driving desired outcomes related highlighting areas where efforts not yield effects. Based present technological demands, practical implications future research directions are also highlighted.
Language: Английский
Citations
44
International Journal of Information Management, Journal Year: 2024, Volume and Issue: 77, P. 102781 - 102781
Published: April 3, 2024
Artificial intelligence (AI) is playing a leading role in the digital transformation of enterprises, particularly manufacturing industry where it has been responsible for profound key business and production operations. Despite accelerated growth AI technologies, knowledge implementation by small medium-sized enterprises (SMEs) remains underexplored. Thus, this study seeks to examine how SMEs orchestrate resources implementation. Building on resource orchestration (RO) theory recent work implementation, we investigate multiple case studies involving Sweden operating packaging, plastic, metal sectors. Our findings indicate that structure portfolio based acquiring accumulating resources. are bundled into learning governance capabilities leverage configurations Through dynamic process orchestration, effectively mobilising coordinating processes, empowering skilled people. This research contributes existing practice academic literature highlighting drive an organisation's whilst creating competitive advantage.
Language: Английский
Citations
37
Next Sustainability, Journal Year: 2024, Volume and Issue: 4, P. 100041 - 100041
Published: Jan. 1, 2024
This comprehensive review explores the nexus between AI and pursuit of net-zero emissions, highlighting potential in driving sustainable development combating climate change. The paper examines various threads within this field, including applications for net zero, AI-driven solutions innovations, challenges ethical considerations, opportunities collaboration partnerships, capacity building education, policy regulatory support, investment funding, as well scalability replicability solutions. Key findings emphasize enabling role optimizing energy systems, enhancing modelling prediction, improving sustainability sectors such transportation, agriculture, waste management, effective emissions monitoring tracking. also highlights related to data availability, quality, privacy, consumption, bias, fairness, human-AI collaboration, governance. Opportunities building, investment, are identified key drivers future research implementation. Ultimately, underscores transformative achieving a sustainable, provides insights policymakers, researchers, practitioners engaged change mitigation adaptation.
Language: Английский
Citations
23