Exploring factors that influence information resources sharing intention via the perspective of consensus perception of blockchain

Gang, Li; Fang, Chih-Cheng

doi:10.1007/s10799-021-00338-4

Cited by 10 publications

(5 citation statements)

References 72 publications

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“…Li and Fang ( 2021 ) explored the factors influencing information resource sharing intention through the view of unanimity of BLCT’s perception, and Kamble et al ( 2019 ) developed a model for user perception on the adoption of BLCT by using SEM in the supply chain. Karamchandani et al ( 2020 ) examined whether the perceived usefulness of permissioned BLCT comes from the knowledge of BLCT benefits or publicity.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Empirical studies based on SEM are performed in agriculture, manufacturing, service, multisector, warehousing, and logistics supply chains. More researchers have carried out their studies on multisector (e.g., Khan et al, 2021a , 2021b ; Li & Fang, 2021 ; Wamba & Queiroz, 2020 ; Queiroz et al, 2021 ; Kim & Shin, 2019 ), and few have carried out in agriculture sector (Paul et al, 2021 ; Masudin et al, 2021 ). Authors have used PLS-SEM, SEM, and PLS-ANN methodology in their research in available literature related to empirical studies of BLCT adoption in SC.…”

Section: Literature Reviewmentioning

confidence: 99%

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Antecedents for blockchain technology-enabled sustainable agriculture supply chain

et al. 2021

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Blockchain can solve the problems that the agriculture supply chain (ASC) is facing to achieve sustainable growth. In a nation like India, blockchain application in the supply chain is still new; therefore, supply chain players need a better understanding and awareness of blockchain through valuable insights. This article aims to study the mediating role of blockchain technology adoption (BLCT) for sustainable supply chain performance (SSCP). This study investigates the influence of numerous factors such as green and lean practices, supply chain integration, supply chain risk, performance expectancy, top management support, cost, internal and external environmental conditions, regulatory support, and innovation capability on BLCT adoption. A sample of 316 respondents from Indian ASC industries was collected, and structural equation modeling (SEM) was used. This study's outcomes show that green and lean practices, supply chain integration, supply chain risks, internal and external conditions, regulatory support, innovation capability, and cost positively influence BLCT adoption. Moreover, BLCT positively influences sustainable agriculture supply chain performance. This article is valuable for policymakers, managers, service providers, researchers, and academicians to understand the role of factors in influencing BLCT and BLCT's role in improving sustainable supply chain performance (SSCP).

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Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Antecedents for blockchain technology-enabled sustainable agriculture supply chain

et al. 2021

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“…First, it provides managers with a new business model direction to promote platforms that are open to alliances that lead innovation (Vargo et al, 2020). Second, it reveals investing in innovative, transparent and secure applications and tools (Chen et al, 2017;Ferro et al, 2016;Gil, 2017) is another effective solution to promote collaborative work between travel agencies and hotels in a sustainable way (Li & Fang, 2022;Massi et al, 2021;Tyan et al, 2021). A third implication is the importance of measuring satisfaction as an outcome variable of business practise in the tourism industry.…”

Section: Implications For Research and Managementmentioning

confidence: 99%

ICT and value co-creation in B2B: the new way of loyalty in service

Berenguer-Contri,

Gil-Saura,

Gil

et al. 2024

cuadernosgestion

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In today’s competitive environment, it is emphasised that business digitalisation is one of the most important strategies to deal with new market challenges. This article argues that technology is a driving force behind business relationships, showing the origins of new ways to achieve loyalty. Through a model which has been tested in a sample of 256 travel agencies, technology can facilitate coordination in the management of relationships between tourism companies, promoting value co-creation between suppliers and customers. Co-creation in turn maximises trust and commitment between organisations and lays the foundations for achievement of dual social and economic satisfaction, for client companies, which ultimately enhances their loyalty. This research contributes to the literature in the interorganizational context, showing quantitative evidence on how technology triggers a sequence of effects that, through value co-creation, trust, and commitment in the channel, between agents in the tourism field, trace a new route of relationships that leads to the achievement of dual satisfaction and loyalty. Additionally, the interrelationships between the two satisfactions are analysed, concluding the mediating effect of economic satisfaction between social satisfaction and loyalty.

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“…To better leverage the advantages generated by considering reputation incentives, the NTIC should reduce the uncertainty in assessing reputation and observing laboratories' effort levels in resource sharing. In practice, the realization of the degree of sharing (d) depends on a variety of factors, such as trust (Lee et al, 2022;Li & Fang, 2022), attitudes toward collaboration (Yang & Maxwell, 2011), organizational culture and policies (Khan et al, 2022;Kar & Navin, 2021), and imbalances of power (Zaheer & Trkman, 2017). Hence, collaboration with laboratories on exploratory research projects about the development and maintenance of the platform is recommended.…”

Section: Management Implicationsmentioning

confidence: 99%

Incentive Mechanisms of an Experimental Resource-Sharing Platform Considering Reputation Effects for Megaprojects

Wang,

Zhou

2024

International Journal of Strategic Property Management

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Participating in megaproject experimental tasks would significantly improve the laboratories’ industry influence and future competitiveness. Thus, this paper introduces the long-term reputation effects of the incentive model of an experimental resource-sharing platform for megaprojects, which could motivate them to consider future benefits and improve their current efforts. The aim is to incentivize laboratories’ resource-sharing behavior more effectively and to increase the amount of resources shared by these laboratories on the platform, thus guaranteeing the long-term sustainability of the platform. It constructs the incentive model by combining dual implicit and explicit incentive mechanisms. It analyses the incentive mechanism of a reputation effect on laboratories compared with the pure explicit mechanism so that the primary conditions for reputation incentives can be obtained to achieve Pareto improvement. Finally, the proposed method is validated in combination with data simulation. The results show that although dual implicit and explicit incentive mechanisms could reduce the information asymmetry between the two sides and increase the efforts of laboratories and the benefits of the platform, the platform should not blindly increase the intensity of these incentives and need to consider the influence of the subsidies of these laboratories’ upfront inputs, the degree of sharing and their informatization capabilities.

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Exploring factors that influence information resources sharing intention via the perspective of consensus perception of blockchain

Cited by 10 publications

References 72 publications

Antecedents for blockchain technology-enabled sustainable agriculture supply chain

Antecedents for blockchain technology-enabled sustainable agriculture supply chain

ICT and value co-creation in B2B: the new way of loyalty in service

Incentive Mechanisms of an Experimental Resource-Sharing Platform Considering Reputation Effects for Megaprojects

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