Digital innovations-driven business model regeneration: A process model

Coskun-Setirek, Abide; Tanrıkulu, Zuhal

doi:10.1016/j.techsoc.2020.101461

Cited by 55 publications

(25 citation statements)

References 80 publications

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“…The development of technology in this modern era, especially in the Covid-19 outbreak, makes it easier to utilize Daarut Tauhiid Waqf institution to introduce Waqf to people through Youtube channels, Zoom and Instagram. Setirek and Tanrikulu (2020) explained that an institution that can adapt to digital innovation would succeed in running its plan and program. The service by technology is helpful for people because of the limited social interaction implemented by the government to control the spread of the virus.…”

Section: Developing a Model Business Model Canvas Elementmentioning

confidence: 99%

Development Strategy of Islamic Boarding Schools-based Waqf (Case Study: Islamic Boarding Schools of Daarut Tauhiid, Bandung)

Saputra

Arsyianti²,

Saptono

2021

JCS

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Management of Waqf by individual collectors dominates Waqf management in Indonesia. However, since Waqf laws stated that The individual and an institution could manage Waqf, the opportunity to develop Waqf is more open for Waqf institutions. One of the established Waqf institutions is the Daarut Tauhiid Waqf institution. This study aims to identify and analyze existing strategies and generate development strategies for Islamic Boarding School-based Waqf. The research method used was descriptive qualitative by using Business Model Canvas (BMC), Strength Weakness Opportunity Threat (SWOT), and Analytical Network Process (ANP) approaches. The researchers conducted this study in Daarut Tauhiid Islamic Boarding School Bandung from November 2020 to March 2021. The respondents were practitioners, namely the director and staff of Daarut Tauhiid Waqf institution, regulators from the Ministry of Religion, and academics from universities in Bogor and Jakarta. Data were collected from in-depth interviews and questionnaires from respondents. The most important development strategy to be implemented in the Daarut Tauhiid Waqf institution is the development of human resources competency. Therefore, competent human resources can establish a trusted, professional, and trustworthy team managing Waqf-based Islamic boarding schools.

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Section: Developing a Model Business Model Canvas Elementmentioning

confidence: 99%

Development Strategy of Islamic Boarding Schools-based Waqf (Case Study: Islamic Boarding Schools of Daarut Tauhiid, Bandung)

Saputra

Arsyianti²,

Saptono

2021

JCS

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“…In the energy sector, digital technologies increase the efficiency, stability, and safety of energy supply and reduce energy consumption and costs by collecting and analysing large amounts of data generated during energy supply and consumption [1], [13]. Mainly utilized digital technologies include IoT to generate and deliver data that is needed from remote, AI, blockchain, analytic software like digital twin, cloud to store and customize collected data, network technology to enable massive data transfer and remote control, and automation technology to improve the efficiency and safety of work [12], [13], [16], [17].…”

Section: Literature Reviewmentioning

confidence: 99%

Characteristics Influencing Digital Technology Choice in Digitalization Projects of Energy Industry

Park

Kim

2021

Environmental and Climate Technologies

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Digitalization projects are actively underway in the energy industry, such as the power industry and oil and gas industry. However, there has been no in-depth and quantitative analysis of the relationships between the participants, industry, and technology of digital projects. Therefore, this study focused on which technologies are invested according to key characteristics such as the types of participants and industries driving digitalization projects. This study also examined whether there are differences in technology choices depending on the degree of clean energy exposure. Based on statistics from Bloomberg New Energy Finance (BNEF), a total of 711 projects were analysed using multinomial logistic regression (MNLR). As a result, the proportion of Analytics software was generally higher in the whole industry, and the energy industry was more likely to invest in Analytics software than in other industries. Comparing the power, oil and gas sectors, there was a high probability of investment in Internet of Things (IoT) in the power sector and Automation in the oil and gas sector. In the type of cooperation between energy companies and industrial companies, the probability of investing in Analytics software was significantly higher. In the case of cooperation between energy companies and information and communications technology (ICT) companies, in the oil and gas sector, Analytics software and Cloud/Data accounted for a large proportion. This study provides insight into the effect of characteristics of energy digitalization projects on the technology choice.

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“…Although some investigators have concentrated on individual digitalization factors, other scientists have come up with different ideas for creating models to estimate and analyze digitalization's impact. Reference [21] developed "a model for digital innovations-driven business model regeneration" that can be used to analyze digital innovations' effects and update existing business models. Reference [22] looked at innovations in digital energy service business models and revealed two significant value gaps related to the ability of these models to increase social and environmental benefits.…”

Section: Introductionmentioning

confidence: 99%

Tools for Correlation and Regression Analyses in Estimating a Functional Relationship of Digitalization Factors

2022

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Digitalization processes affect all levels and spheres of human activities, from personal communications to public events. The widespread implementation of digital technologies has an ambiguous effect on the personal, social, and economic paths of modern society’s development. At the moment, there is no single approach to the estimation of digitalization’s impact, particularly on the financial and economic properties of a company. The objective of this study was to create multiple models for the assessment of digitalization’s impact on company performance. To accomplish this objective, the following steps were performed: conducting a literature survey on the experience with digital technologies’ implementation; selecting the most appropriate mathematical tools for correlation and regression analyses; determining a functional relationship between the factors and consequences of digitalization in terms of companies’ performance; identifying digitalization factors, risks, and their impact on the financial sustainability of companies; and creating a multiple regression model of the functional relationship between digitalization factors and the financial sustainability of companies. In the course of the study, a correlation analysis of the dependence of companies’ financial sustainability on a number of digitalization factors has been conducted, and different ways of using company performance data as effective features and predictive factors are offered. The article includes sampling data on the parameterization and quality evaluation of multiple regression models. The validity of the multiple models suggested was tested with actual statistical data obtained from 16 Russian companies. The application of the multiple regression model was devised to estimate digitalization’s impact on companies’ performance, and their financial sustainability can be seen as the most important practical implication of this study.

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Digital innovations-driven business model regeneration: A process model

Cited by 55 publications

References 80 publications

Development Strategy of Islamic Boarding Schools-based Waqf (Case Study: Islamic Boarding Schools of Daarut Tauhiid, Bandung)

Development Strategy of Islamic Boarding Schools-based Waqf (Case Study: Islamic Boarding Schools of Daarut Tauhiid, Bandung)

Characteristics Influencing Digital Technology Choice in Digitalization Projects of Energy Industry

Tools for Correlation and Regression Analyses in Estimating a Functional Relationship of Digitalization Factors

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