How digitalization in banking improve service supply chain resilience of e-commerce sector? a technological adoption model approach

Zaman, Syed Imran; Khan, Sharfuddin Ahmed; Qabool, Sahar; Gupta, H.C.

doi:10.1007/s12063-022-00341-0

Cited by 23 publications

(4 citation statements)

References 140 publications

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“…This strategy has been used in a number of different investigations. In light of the structure and design of systems for multi-attribute data management, such as DEMATEL, a sample size of approximately 30 people is considered to be quite acceptable (Luthra et al , 2017; Zaman et al , 2023; Jiang et al , 2023; Zaman et al , 2022). The vast majority of studies on multi-attribute decision-making use sample sizes ranging from 10 to 15 participants (Khan et al , 2021b).…”

Section: Methodsmentioning

confidence: 99%

Identifying and exploring the relationship among the critical success factors of sustainability toward consumer behavior

Zaman,

Kusi-Sarpong

2023

JM2

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Purpose The purpose of this study is to find out what is the relationship between sustainability toward consumer behavior. Consumer behavior is the method of choosing, buying and using goods and services with an attachment to needs and wants. Now consumers are aware about sustainability, they make purchase decisions according to environmental safety, benefit to the society and increase economic growth. Design/methodology/approach This study validates the result through experts in textile industry by using the Decision-Making Trial and Evaluation Laboratory approach. This method has many benefits which provide decision makers and experts to understand the interdependence and influential relation between the criteria by hierarchical approach. Findings According to the results, green culture (F8) and green brand (F3) are the most influential (causal) factors and exert a substantial amount of influence over other factors for achieving organizational performance and sustainability. On the other hand, past experience (F14) and time pressure (F12) are the most influenced (effect) factors that are highly influenced by other factors. Practical implications The study conducted in Pakistan underscores the significance of maintaining a healthy and pristine environment for future generations. Both consumers and organizations play a vital role in this endeavor. It is imperative that they actively promote and support goods and services that advocate for sustainability. Social implications Mangers should use long-term strategies that meet the high product value to enhance the organization’s reputation, so it will have positive consumer perception. If managers make policies to implement natural resources in their raw material, so this policy avoids conflicts and maintains a balance in our society. Originality/value This research delves into the complexities and subtleties associated with the identification and examination of the interconnections between the success factors of sustainability and consumer behavior.

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Section: Methodsmentioning

confidence: 99%

Identifying and exploring the relationship among the critical success factors of sustainability toward consumer behavior

Zaman,

Kusi-Sarpong

2023

JM2

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“…We summarize numerous present and future research related to this cluster in Table 10. Current literature status Future aspects of research -explore the intensity of digital maturity and the utilization of digital tools are positively correlated to supply chain resilience (SCR) (Zouari et al, 2021) -Find evidence that Digitalization, modularization, and innovations work as mediating variables in the relationship between firm logistic capacity and SCR (Song et al, 2022) -indicate that the SCR contributes to the medical industry, and depending on the applications, SCR outcomes may be varied (Tortorella et al, 2022) -Suggest that SCI plays a role as a mediation variable in the relationship between the intensity of business digitalization and SCR (Shi et al, 2023) -Explore the important factors of SCR in the banking industry (Zaman et al, 2023) -Scrutinizing SCR in different industries and how they differ based on different internal and external circumstances -Exploring the variables and factors of SCR -Investigating how the variables of SCR intensity work in different settings (i.e., industry, company, local firm, downward suppliers, upstream suppliers) -exploring the challenges to implement SCR in a company, especially in SME business -Examining the factors of digital maturity and how the maturity differs based on challenges companies face -Evaluating the contributions of virtual networks and their communications way impact on SCG -Creating numerous frameworks of SCG in industry-specific -Comparing the research outcomes of SCG based on different research methods (i.e., case study, survey, interview, archival research) and scrutinizing the most appropriate ways of research.…”

Section: Cluster 3: Blockchain In Supply Chainmentioning

confidence: 99%

Industry-4, Big Data, and Blockchain Research Prospects in Supply Chain Domain

Bhuiyan,

Mazumder,

Afrose

et al. 2024

bpr

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Purpose: Utilizing technologies becomes a prerequisite in the operations of supply chain management. Research in digitalized supply chain management (SCM) is now trending as a new arena of research. This study investigates and summarizes the research that has been performed so far in this area, and also explains what the future research scopes in the integration of digitalization and supply chain management are. Method: To execute this study, we carry out a systematic literature review by using numerous software (i.e., BiBexcel, Gephi, and VOSviewer) for clustering existing literature in digitalized SCM from the Web of Science. Result: Our findings suggest that Industry 4.0, Big data, Blockchain, and supply chain resilience are the four key categories in the research on digitalized SCM. Implications: This study explains the reasons behind the research in these four categories. This literature review helps researchers to build a comprehensive knowledge of the research status of digitalized SCM and contributes to the direction of future research in digitalized SCM that helps researchers to explore their further investigations in the combination of SCM and Industry 4.0, Big data, Blockchain, and supply chain resilience.

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“…The CSF method is defined by Bullen and Rockart (1981) as a strategy for identifying the most essential influencing elements. The CSF method may be used to assess a product and service performance and attainment of its goals (Jiang et al, 2023;Miao et al, 2022;Zaman et al, 2022). First, the goal was to integrate SCC with SCF by focusing on specific areas where suitable results and optimum efficiency might be achieved to improve the performance of SCF.…”

Section: Selection and Validation Of Proposed Factorsmentioning

confidence: 99%

Investigating the relationship between supply chain finance and supply chain collaborative factors

Zaman

Khan

Kusi‐Sarpong

2023

BIJ

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PurposeIt is important to understand the factors that are significant in supply chain (SC) collaboration decision making and whether supply chain collaborative factors that are considered in the literature are still valid. To date, SC collaboration has not been extensively studied in the literature with supply chain finance (SCF) factors to evaluate SCF performance. Therefore, in this paper, the authors investigate the interrelationships between SCF and supply chain collaborative (SCC) factors for achieving SCF performance. The authors identified the most important factors from the literature on SCF and SCC and with inputs from experts in the textile industry in Pakistan.Design/methodology/approachThe authors employed the Gray-Decision Making Trial and Evaluation Laboratory approach to help examine the cause-and-effect relationship between the factors and identify the influence of each factor on the others.FindingsThe findings showed that the most prominent factors of the study are “level of digitalization”, “information sharing”, and “collaborative communication”, and “most effect factors of this study are incentive alignment” and “information quality”. Furthermore, the “Level of digitalization” was identified as the factor with the central role and most significant correlation with other factors.Research limitations/implicationsThe major implication of the study is that textile industries should effectively develop their supply chain decisions after analyzing their internal and external factors, which will help in developing strategies that will facilitate better management of SCF relationships. The limitations of the study are that only 15 SCF and supply chain collaborative factors were considered, and time and scope are also limited. This study is only applied in the textile industry, so generalization may be limited.Originality/valueTo date, this study is the only one that has taken into consideration SCC with SCF factors to evaluate supply chain performance. This paper therefore makes this initial attempt and original contribution to this discussion, which can be helpful for those working to enhance supply chain performance, such as practitioners and policymakers.

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How digitalization in banking improve service supply chain resilience of e-commerce sector? a technological adoption model approach

Cited by 23 publications

References 140 publications

Identifying and exploring the relationship among the critical success factors of sustainability toward consumer behavior

Identifying and exploring the relationship among the critical success factors of sustainability toward consumer behavior

Industry-4, Big Data, and Blockchain Research Prospects in Supply Chain Domain

Investigating the relationship between supply chain finance and supply chain collaborative factors

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