The Role of Green Ambidexterity Innovation, Agile Supply Chain, and Big Data Analytics Capability to Enhance Sustainable SCM Performance in SMEs: An Integration of CFA-SEM-ANN Approach

Regarding to the diversified needs of domestic and global customers and various products of domestic and global competitors, importance of agility in supply chain management becomes more important. Suppliers have to provide materials and essential resources of manufacturers in a short time without any lead time.In this research, we identified many criteria for agility in sanitation supply chain. Then with utilization of Fuzzy Delphi, ideas of experts about criteria have been gathered in 8 final criteria. Next step is devoted to prioritization of five suppliers in sanitation industry based on the final criteria with fuzzy VIKORRegarding to the diversified needs of domestic and global customers and various products of domestic and global competitors, importance of agility in supply chain management becomes more important. Suppliers have to provide materials and essential resources of manufacturers in a short time without any lead time.In this research, we identified many criteria for agility in sanitation supply chain. Then with utilization of Fuzzy Delphi, ideas of experts about criteria have been gathered in 8 final criteria. Next step is devoted to prioritization of five suppliers in sanitation industry based on the final criteria with fuzzy VIKORRegarding to the diversified needs of domestic and global customers and various products of domestic and global competitors, importance of agility in supply chain management becomes more important. Suppliers have to provide materials and essential resources of manufacturers in a short time without any lead time.In this research, we identified many criteria for agility in sanitation supply chain. Then with utilization of Fuzzy Delphi, ideas of experts about criteria have been gathered in 8 final criteria. Next step is devoted to prioritization of five suppliers in sanitation industry based on the final criteria with fuzzy VIKOR

Despite widespread attention on the significance of green supply chain integration (GSCI), there is still limited research on how GSCI can improve firms’ green innovation performance. From the perspective of the natural resource-based view and dynamic capability theory, based on the theoretical logic of “resource-capability-performance”, this study aims to explore the relationship between GSCI and firms’ green innovation performance and its intrinsic mechanism. In order to test the research model, this study collected survey data from 405 Chinese manufacturing firms and tested them by using hierarchical regression and bootstrap analysis. The results show that all three dimensions of GSCI, namely, green internal integration, green supplier integration, and green customer integration, have positive effects on supply chain agility. In addition, supply chain agility has a significant positive impact on green product and process innovation. This study also finds that supply chain agility plays a partially mediating role between all three dimensions of GSCI and green product and process innovation; that is, GSCI can further promote firms’ green innovation performance by improving supply chain agility. The results of this study not only enrich the theoretical research on the driving factors of firms’ green innovation but also provide policy implications for manufacturing firms and government policy-makers regarding the implementation and promotion of green innovation practices.

PurposeThe COVID-19 pandemic, geopolitical conflicts, anti-globalization and the digital economy have led to accelerated changes in the market, forcing companies to use big data to achieve precise and agile product or service delivery, thereby improving performance. Existing research has not yet explored the mechanisms for data-driven supply chain agility and supply chain performance. Based on dynamic capacity theory and organizational information processing theory, this paper constructs a conceptual model to investigate how big data analytics can facilitate the implementation of high-level supply chain agility and performance through customer integration, internal integration and collaborative knowledge creation.Design/methodology/approachWe collected a sample of the Chinese food industry and conducted an empirical study using partial least squares structural equation model (PLS-SEM) and fuzzy set qualitative comparative analysis (fsQCA).FindingsThe results show that big data analytics has an impact on supply chain agility through three paths. Moreover, big data analytics capability and supply chain agility are considered dynamic capabilities and the effect of configuration under different conditions is empirically tested. Four solutions to improve the performance of the supply chain are obtained.Practical implicationsThis research sheds light on the implementation process of big data-driven supply chain performance, which is of good theoretical and practical value for expanding the theory of organizational information processing and helping enterprises achieve high-level agile supply and performance.Originality/valueWe provide a new perspective on supply chain agility by exploring the antecedents of supply chain agility and its impact on supply chain performance from the perspective of information processing and dynamic capabilities. Existing studies have not focused on the role of big data analytic capabilities in improving supply chain agility. The purpose of this study is to attempt to establish a clear relationship between the three mediating paths (customer integration, internal integration and collaborative knowledge creation) between big data analytics capabilities and supply chain agility. In addition, we use the empirical methods of PLS-SEM and fsQCA to better substantiate the conclusions.

SMEs always require dynamic capabilities for enhancing their performance, therefore, this research aimed to examine the influence of strategic agility and supply chain agility on SMEs’ performance. Moreover, it investigated the moderation of innovation capability in the relationship between strategic agility and SMEs’ performance. Furthermore, the moderating role of innovation capabilities was identified in the relationship between supply chain agility and SMEs’ performance. The data for the research was gathered from 398 respondents, and Smart pls was used for analysis. The results highlighted that strategic agility and supply chain agility significantly influence SMEs’ performance. In addition, innovation capability can moderate the relationship between strategic agility and SMEs’ performance. Whereas innovation capability does not moderate the relationship between supply chain agility and SMEs’ performance.

Oil and gas (O&G) supply chain management (SCM) is complex because it deals with different geographic locations to manage demand and supply, transportation, inventory, and distribution. Blockchain technology has created an interesting research gap in the SCM domain, and this study is designed to describe the relevancy of blockchain technology for O&G SCM. SCM is based on agile and lean supply chains (SCs). Agile SC focuses on increasing flexibility and responsiveness to gain competitive advantages, and lean SC is based on eliminating waste and processes to improve firm performance. This study is an initial effort to propose a framework that suggests the implication of blockchain for O&G by providing an overview of O&G SCM. Data were collected from SC managers of O&G companies, and we analyzed the impact of agile and lean SCs on firm performance. The results indicate that agile SC is highly important for O&G industries in comparison to lean SC. This study proposes the key requirements of agile SC and how blockchain can uplift agile SC technology with state-of-the-art properties such as data-driven management, information sharing, data privacy, cyber-security, transparency, smart contracts, visibility, traceability, and reliability, which boost SC agility as well as firm performance.

PurposeImplementing big data analytics (BDA) for supply chain ambidexterity (agility and adaptability) and green supply chain (GRSC) presents various organizational challenges. These include leveraging BDA capabilities to balance agility and adaptability, integrating this combined approach with GRSC and aligning these efforts to enhance firm performance. This study explores the associations between BDA, supply chain agility and adaptability, GRSC and their impact on firm performance.Design/methodology/approachIncorporating a resource-based view and contingency theory, we developed a research framework and validated it with data from 355 Chinese firms. Partial least squares structural equation modeling was used to analyze the data.FindingsThe findings demonstrate that BDA capabilities had direct impact on supply chain agility and adaptability, GRSC and firm performance. Moreover, the combination of supply chain agility and adaptability affected GRSC; which in turn significantly influenced firm performance. Supply chain agility and adaptability mediated the relationship between BDA capabilities and GRSC. Additionally, GRSC mediated the relationship between BDA capabilities, supply chain agility and adaptability and firm performance.Originality/valueThis study offers both a theoretical and empirical examination of the relationships between BDA capabilities, supply chain agility and adaptability, GRSC and firm performance. By assessing the direct and mediating effects of these factors on China’s industrial sector, it presents new theoretical and practical insights into BDA and GRSC, thereby enhancing the value of the existing literature.

Green practices are becoming increasingly important throughout the world. The performance of SMEs is becoming a crucial issue because of increasing awareness of consumers about environmentally friendly products; therefore, enterprises not following green practices may face a significant decline in performance. Therefore, the purpose of the study was to identify the mediating role of green product innovation between green entrepreneurial orientation, green transformational leadership, and the performance of SMEs. To meet the objectives of the study, structural equation modeling was applied to the data collected from 384 manufacturing SMEs operating in Amman, Jordan, using systematic sampling. The findings revealed that the mediating role of green product innovation was insignificant at the 5% level of significance but significant at the 10% level of significance. All other relationships were significant at the 5% level of significance. This study provides theoretical support for investing more resources in green product innovation to gain sustainability.

PurposeThe purpose of this study is to investigate the impact of big data (BD) analytics capabilities (BDACs) on green supply chain integration (GSCI) and green innovation (GI) in the context of a developing country, Jordan. In addition, the mediating effect of GSCI on the relationship between BDAC and GI is investigated.Design/methodology/approachData collection was carried out through a survey with 300 respondents from food and beverages manufacturing firms located in Jordan. Partial least squares-structural equation modeling (PLS-SEM) technique was applied to analyze the collected data. Natural resource-based view (NRBV) theory was the adopted theoretical lens for this study.FindingsThe results revealed that BDAC positively and significantly affects both GSCI and GI. In addition, the results demonstrated that GSCI positively and significantly affects GI. Further, it is also found that GSCI positively and significantly mediates the relationship between BDAC and GI.Originality/valueThis study developed a theoretical and empirical model to investigate the relationship between BDAC, GSCI and GI. This study offers new theoretical and managerial contributions that add value to the supply chain (SC) management literature by testing the mediation model in food and beverages manufacturing firms located in Jordan.

Green entrepreneurship has been increasing with growing attention to environment protection by a variety of stakeholders. Green innovation, as the essence of green entrepreneurship, has attracted a broad range of scholarly attention with yet inconclusive findings regarding its effect on firm performance. According to our analyses of 1667 firms listed on SME board and GEM in China during the period from 2010 to 2019, we find interesting results regarding the type of green innovation involved and the moderating effect of firm age on the link between green innovation and SME performance. More precisely, we find green utility-model innovation positively influences firm performance for SMEs, whereas green invention innovation does not contribute to firm performance overall. More interesting, our empirical results suggest that older firms benefit more from both green invention innovation and green utility-model innovation than younger firms. This research contributes to the literature on green entrepreneurship as well as green innovation.

The aim of this study was to construct a causal model that investigates the association between big data analytics capability (BDAC), supply chain agility (SCA), supply chain performance (SCP), and financial performance (FP), in the hotel industry. Additionally, it examines the mediator functions of SCA and SCP in the correlation between BDAC and FP. The study collected data from 324 hotel entrepreneurs who participated by completing online surveys. The gathered data were subsequently examined using PLS-SEM. The results demonstrate that BDAC has a direct favorable impact on SCA, SCP, and FP, while SCA also has a positive effect on both SCP and FP. Both SCA and SCP were found to significantly mediate the relationship between BDAC and FP. These findings indicate that hotel owners should utilize customer service data for thorough analysis to determine the most effective operational solutions and improve their BDAC. This method has the potential to enhance SCA, SCP, and eventually, yield superior financial performance. The study enhances our understanding of the function of BDAC in improving performance in hotel businesses. It also offers practical implications for hotel management.

Purpose – The purpose of this paper is to present a proposed hybrid model for managing the cost of agility smart supply chains using Nanotechnology. Methodology – The paper concentrates on a case study of the Egyptian Electric Cables company related to the new implementation of Nanotechnology in Egypt’s industrial sector. The data was collected through interviews with company officials specializing in Nanotechnology since 2022. The paper constructs a model for managing the cost of an agile smart supply chain using the Fuzzy Model. The methodology involves defining specific capabilities and attributes, establishing linguistic scales for performance evaluation, and computing fuzzy performance indices. These indices aim to quantify the performance of agile attributes and capabilities within the context of Nanotechnology’s application in smart supply chains, culminating in an overall Fuzzy Performance Index. Findings – The Egyptian Electric Cables company’s utilization of Nanotechnology within their agile smart supply chain demonstrates remarkable effectiveness, as indicated by the fuzzy performance index values. Their success appears in adeptly managing various factors: flexibility, allowing adaptability to market demands and diverse product ranges; responsiveness, ensuring strong supplier relationships and swift adjustments to market fluctuations; competence, exhibited through effective collaboration, product quality, and skilled workforce development; cost management, focusing on controlling expenses throughout the sourcing, manufacturing, and delivery processes; and performance, emphasizing efficiency, increased output, and resource optimization. These practical results prove the company’s success in integrating Nanotechnology to efficiently manage costs within its agile smart supply chain model. Originality – It is believed that there is no study to date examining the effect of using Nanotechnology on the cost management of agility smart supply chains. This paper contributes to the limited literature on Nanotechnology and cost management of agility smart supply chain. It develops a fuzzy model that integrates Nanotechnology within the scope of capabilities (Flexibility, Responsiveness, Competence, Cost, and performance) in sourcing, manufacturing, and delivery within the agile smart supply chain, the construction of this fuzzy model was guided by the researchers’ creation of the suggested hybrid model for agile smart supply chains, integrating Nanotechnology and leveraging advanced technologies. Keywords: Nanotechnology, Cost Management, Nano Supply Chains, Agility Supply Chains, Smart Supply Chains, Value Chains, RFID, 3D printing.

The study aimed to Identify the role of digital transformation in reducing corruption in local administrative bodies and identify the level of development of local administrative bodies, Identify the challenges facing the role of digital transformation in developing local administrative bodies. Identify the causes of corruption in local administrative bodies., Develop proposals to activate the role of digital transformation in developing local administrative bodies, reach a proposed work plan to activate the role of digital transformation in developing local administrative bodies to reduce corruption. Moreover, the study relied on the following methods: A descriptive and analytical approach, using a questionnaire to collect data from employees of the local administration center in Mokattam, Cairo Governorate. A field study approach, using interviews with employees and the public benefiting from those services to reduce the appearance of corruption. The study reached several recommendations and proposals, the most important of which are: Linking the role of digital transformation to the local strategic plan. Developing more effective methods of management and organization to reduce direct interaction with citizens. Strengthening the competitive position of localities by creating an integrated system for collecting and storing data and the ability to update it continuously. Paying attention to creative ideas and working to achieve them. Building a new role for digital transformation that is directly related to reducing the appearance of any type of corruption. Benefiting from experts specialized in the field of digital transformation. Increasing cooperation and coordination between local authorities and other administrations. In addition, the study found that the level of development of local administrative bodies in Egypt is still relatively low. This is due to several factors, including: Lack of funding and resources. Lack of qualified staff. Lack of a clear vision and strategy for digital transformation. Keywords: Digital transformation – Financial corruption – Administrative corruption – Local government units

PurposeThe current study examines the impact of big data analytics capabilities (BDAC) on supply chain performances of the manufacturing firms. Based on the underpinning of resource-based view (RBV) theory, the current study will highlight the significance of BDAC on green dynamic capabilities (GDC), supply chain agility (SCA) and green competitive advantage (GCA). Furthermore, the study examines the moderating effect of supply chain innovativeness (SCI) on the relationship between GCA and firm performance (FP).Design/methodology/approachOnline survey method was employed for the data collection from the 331 managers employed in Pakistan Stock Exchange (PSX)-listed manufacturing firms. The hypothesized model was tested using partial least squares structural equation modeling (PLS-SEM) technique.FindingsThe study results indicate that BDAC has a positive influence on both GDC and SCA, leading to enhanced GCA. Furthermore, the results demonstrate that GCA significantly and positively impacts FP, and the relationship between them is positively moderated by SCI.Originality/valueThis study developed a novel theoretical perspective based on RBV theory and provided empirical evidence that manufacturing firms' performances are significantly influenced by BDAC, GDC and SCA. The study results provide valuable practical implications top management regarding the effectiveness of BDAC and SCA in the supply chain. The findings further highlight the significance of SCI strengthening relationship between GCA and FP.

Indonesia consists of 17,000 islands, and this geographical condition presents unique supply chain challenges. Limited research has been conducted to study the impact of inter-island logistics on agile and supply chain performance. Therefore, this research is a pioneering study that analyzes the correlation between these variables. In addition, this research investigates the relationship of ambidextrous, agile, and lean supply chains to supply chain performance while examining the moderating effect of inter-island logistics. A theoretical design was developed to study the above relationship. As an initial analysis, hypotheses were tested with data from 34 manufacturing firms in Indonesia, using SmartPLS with 500 bootstrap samples. This research contributes to the supply chain management literature in three ways. First, it found that an agile supply chain mediates ambidextrous and lean supply chains to improve supply chain performance. Second, inter-island logistics, however, negatively moderates the relationship between an agile supply chain and supply chain performance. Finally, it strengthens the conceptual definition of the relationship between ambidextrous, lean, agile supply chains and supply chain performance.

Business performance is influenced by several factors, one of which is the innovation of sales ideas. Previous studies also explain the role of innovation in determining the performance of the business being undertaken. Some researches on the role of innovation in determining business performance emphasizes aspects of top management involvement, resources, existing technological capabilities and organizational culture. This research aims to analyse the determinants of business performance factors, especially on the role of innovation as a mediating factor. This research is quantitative using Partial Least Square (PLS)-Structural Equation Modelling (SEM) models. The results of this study explain that Innovation and Management Capability do not have an influence on business performance in the SME accessories gadget at ITC Roxy Mas. However, entrepreneurial orientation has an influence on business performance in the gadget accessories SMEs at ITC Roxy Mas. Furthermore, entrepreneurial orientation and management ability have an influence on innovation in the gadget accessories SMEs at ITC Roxy Mas. The results of the indirect effect explain the entrepreneurial orientation and management capabilities that are mediated by innovation do not have an influence on business performance in the gadget accessories SMEs at ITC Roxy Mas.
 
 Keywords: Business performance, SMEs, innovation, entrepreneurship