The strategic innovation under information technological turbulence: the role of organisational resilience in competitive advantage

Pratono, Aluisius Hery

doi:10.1108/cr-03-2021-0046

Cited by 26 publications

(20 citation statements)

References 61 publications

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“…This could explain the policies many countries and MSEs have used in response to the COVID-19 pandemic. SOIPE might be Pratono [55] found this would not create a competitive advantage compared with the high information technological turbulence, organizational resilience, and marketing communication that could result from that. This conclusion is in line with the results of the literature review.…”

Section: Step 4: Mses' Best Soipementioning

confidence: 99%

Micro- and Small-Sized Enterprises’ Sustainability-Oriented Innovation for COVID-19

Huang¹,

Hengbin²,

Choi

et al. 2022

Sustainability

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The economic impact of a public emergency, such as the COVID-19 pandemic, is often reduced by micro and small businesses (MSEs) undertaking sustainability-oriented innovation for public emergencies (SOIPE), which includes production and service innovation, information innovation, marketing innovation, and labor innovation. The originality of this study lies in its prediction and evaluation of COVID-19′s challenges and SOIPE’s requirements to have a keen observation and discovery ability. In this paper, we combined nominal group technique, fuzzy analytical hierarchy process, least squares, and a case study to investigate governance, economic, financial, sociocultural, and environmental sustainability and demonstrate the MSEs’ sustainability evaluation model. In a qualitative study and literature review, MSEs were found to use SOIPE in a variety of ways. Some studies focused on marketing innovation, while others were hampered by their limited understanding. From both a theoretical and empirical perspective, this study suggests that MSEs should identify their optimal SOIPE based on the impact and volatility of a public emergency. In addition, this study presents an assessment of the impact and environmental volatility of a public emergency, as well as MSEs’ SOIPE, which is more helpful for enterprises. Finally, this study creatively introduces the SOIPE of MSEs, which has important policy ramifications.

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Section: Step 4: Mses' Best Soipementioning

confidence: 99%

Micro- and Small-Sized Enterprises’ Sustainability-Oriented Innovation for COVID-19

Huang¹,

Hengbin²,

Choi

et al. 2022

Sustainability

View full text Add to dashboard Cite

show abstract

“…The farmers go beyond merely comprehending the situation and translate these signals into timely decisions, allowing them to predict and prepare for adverse events. The ability of OR to recover from the disaster by raising environmental awareness to cope with disturbances and interruptions was also stressed by Pratono (2022) .…”

Section: Literature Review and Hypotheses Developmentmentioning

confidence: 99%

Does relational capital matter to food and beverage SMEs’ resilience? The mediating role of environmental scanning

YahiaMarzouk

Jin

2022

Front. Psychol.

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The COVID-19 pandemic’s characteristics, including how quickly it spread, and the emergence of new virus variations, raise serious questions about the pandemic’s potential repercussions and complications in the food and beverage industry, among other industries. The global COVID-19 pandemic highlights the pressing need to reconsider how we manufacture and market food and beverage goods. During the epidemic, SMEs must build organizational resilience (OR) in order to recover economically, socially, and communally. Relational capital (RC) is a crucial factor that can be deployed by SMEs to acquire the resources existing in the external networks to adapt to disturbances; however, the impact of RC on the resilience of Egyptian food and beverage SMEs is under-examined. Additionally, it is unclear how RC promotes organizational resilience. In this regard, we argue that social interactions and regular communication can let an SME and its business partners exchange information and best practices, thereby enabling it to immediately establish backup plans to deal with the disruption. In order to achieve our aim, we investigated how relational capital affected organizational resilience both directly and indirectly through environmental scanning, utilizing partial least squares structural equation modeling (PLS–SEM).The results from 217 Egyptian food and beverage SMEs demonstrate that relational capital directly and positively affected organizational resilience. Besides, the RC–OR relationship is partially mediated by environmental scanning. Our current study, therefore, adds to the extant literature through being one of the few studies to address the topics of relational capital and resilience altogether during crisis times within a developing country, an issue that has not been sufficiently investigated in exiting literature. Moreover, our current study is the first one to empirically investigate the role of relational capital in facilitating environmental scanning activities of SMEs to ultimately foster their resilience. Our results, thus, prove that a large amount of information relevant for recovery are inherent within an SME’s external relations network. We provide implications for theory and practice.

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“…There are three neurons in the input layer, and the number of defined data k=1,2,3...m, then the output of the neural network input layer is [9][10]:…”

Section: Figure 1 Bp Neural Network Pid Control Structure Diagrammentioning

confidence: 99%

Heat Transfer Coefficient of Impeller Rim of High-power Steam Turbine Based on Deep Neural Network

2022

KME

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Cogeneration and waste heat recovery and utilization are important means to improve energy utilization, which opens up a broad application prospect for steam turbines. Digital electro-hydraulic control system is responsible for the speed and load control of the unit, and its control performance directly affects the safety and economy of the unit. The purpose of this paper is to study the heat transfer coefficient of high-power steam turbine impeller rim with deep neural network. In this paper, the surface emission coefficient of high-power turbine rotor blades is measured by power method. Then, the scraping characteristics of the rotor blade and ceramic coating of the high-power turbine box were experimentally studied, focusing on the effects of different scraping depth, scraping rate and disc linear speed on the scraping temperature and scraping force. According to the influence of process and nonlinearity on system stability, a neural network PID controller is designed to replace the traditional PID controller, to reduce the influence of nonlinearity on the control system, and to realize the adaptive adjustment of controller parameters. In this paper, three algorithms are selected to calculate the heat transfer coefficient of turbine wheel rim under different working conditions. The influence of grid number on the average tip temperature of steam turbine is studied and analyzed. The experiment shows that the average blade tip temperature of the impeller tends to be stable after the grid number is more than 4.47 million.

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The strategic innovation under information technological turbulence: the role of organisational resilience in competitive advantage

Cited by 26 publications

References 61 publications

Micro- and Small-Sized Enterprises’ Sustainability-Oriented Innovation for COVID-19

Micro- and Small-Sized Enterprises’ Sustainability-Oriented Innovation for COVID-19

Does relational capital matter to food and beverage SMEs’ resilience? The mediating role of environmental scanning

Heat Transfer Coefficient of Impeller Rim of High-power Steam Turbine Based on Deep Neural Network

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