The nexus of information sharing, technology capability and inventory efficiency

2020 ◽  
Vol 33 (4) ◽  
pp. 327-351
Author(s):  
Yudi Fernando ◽  
Ahmed Zainul Abideen ◽  
Muhammad Shabir Shaharudin
Keyword(s):  
Supply Chain ◽  
Information Sharing ◽  
Structural Equation ◽  
Online Survey ◽  
Structural Model ◽  
Manufacturing Firms ◽  
Equation Modeling ◽  
Inventory Level ◽  
Content Type ◽  
It Capabilities

Purpose This paper aims to examine the effect of inventory information sharing on inventory efficiency and its intervening effect of information technology (IT) capability in manufacturing firms. Design/methodology/approach Stratified random sampling and filter questions selected targeted respondents, and an online survey collected 124 completed questionnaires from Malaysian manufacturing firms. partial least squares structural equation modeling (PLS-SEM) examined the structural model and hypothesis statement. An analysis of importance-performance map analysis (IPMA) test identified the relative importance drivers of inventory efficiency. Findings The findings showed that enhanced IT capabilities in manufacturing firms mediate a positive relationship between inventory sharing and inventory efficiency. Research limitations/implications This study portrays the relationship between inventory level, demand and information sharing. The research was carried out only within Malaysian manufacturing firms. Practical implications These findings will enable the management of manufacturing firms to design and visualise their inventory levels and share best practices across supply chain networks to achieve effective and optimised inventory planning. Social implications This study illustrates an intervention model that offers a direct and indirect impact of IT capabilities that allow scholars to close inventories productivity gaps in research. Originality/value This paper extends the limited literature on the sharing of inventory information and inventory productivity, notably from a strategic management perspective. The findings help scholars clearly understand the information systems capability and its mediating impact on information sharing and inventory efficiency’s relationship in the manufacturing sector. Moreover, demand information sharing affected the dynamic supply chain.

Effects of low carbon supply chain practices on environmental sustainability

2019 ◽  
Vol 8 (1) ◽  
pp. 2-25 ◽  
Author(s):  
Chiranjit Das ◽  
Sanjay Jharkharia
Keyword(s):  
Supply Chain ◽  
Environmental Sustainability ◽  
Structural Equation ◽  
Structural Model ◽  
Manufacturing Firms ◽  
Equation Modeling ◽  
Low Carbon ◽  
Content Type ◽  
Carbon Supply ◽  
Operational Practices

PurposeThe purpose of this paper is to empirically examine the relationships between low carbon supply chain practices and their relationships with environmental sustainability (ES) and the economic performances (EP) of firms. The study also includes an examination of the low carbon supply chain practices that are utilized by Indian manufacturing firms.Design/methodology/approachThrough a questionnaire-based survey, the data received from 83 Indian manufacturing firms was analyzed using a variance-based structural equation modeling technique to test the proposed hypotheses.FindingsThe study indicates that carbon governance is a strategic imperative for the adoption of low carbon supply chain practices. Similarly, low carbon product and process design (LCPPD), manufacturing and logistics lead to improved ES. In addition, low carbon purchasing is positively related to the adoption of LCPPD, manufacturing and logistics. No significant relationship was found between the adoption of low carbon supply chain practices and the EP of a firm.Practical implicationsThe findings of this study may assist manufacturing managers in prioritizing operational practices for the reduction of emissions.Originality/valueThis study provides two major contributions to green supply chain management. First, it provides comprehensive empirical evidence on low carbon supply chain practices that are being followed by Indian manufacturing firms. Second, this study also empirically validated a structural model of low carbon supply chain practices.

The effect of supplier development initiatives on purchasing performance: a structural model

2005 ◽  
Vol 10 (4) ◽  
pp. 289-301 ◽  
Author(s):  
Cristóbal Sánchez‐Rodríguez ◽  
David Hemsworth ◽  
Ángel R. Martínez‐Lorente
Keyword(s):  
Supply Chain ◽  
Structural Equation ◽  
Manufacturing Industry ◽  
Structural Model ◽  
Essential Element ◽  
Equation Modeling ◽  
Supplier Development ◽  
Manufacturing Companies ◽  
Content Type ◽  
Different Levels

PurposeSupply chain management is an increasingly important organizational concern, and proper management of supplier relationships constitutes one essential element of supply chain success. However, there is little empirical research that has tested the effect of supplier development on performance. The main objective is to analyze the effect of supplier development practices with different levels of implementation complexity on the firm's purchasing performance.Design/methodology/approachThree supplier development constructs were defined: basic supplier development, moderate supplier development, and advanced supplier development. Three structural models were hypothesized and tested using structural equation modeling through field research on a sample of 306 manufacturing companies in Spain.FindingsIdentified important interrelationships among the various supplier development practices, basic, moderate, and advanced. Also indicated that the implementation of supplier development practices significantly contributes to the prediction of purchasing performance.Research limitations/implicationsThe use of a single key informant could be seen as a potential limitation of the study. The study was a cross‐sectional and descriptive sample of the manufacturing industry at a given point in time. A more stringent test of the relationships between the different levels of supplier development and performance requires a longitudinal study, or field experiment.Practical implicationsThis study focused on supplier development practices and revealed how involving suppliers in supplier development activities is important and may help buyers to increase their purchasing performance. The findings from the structural analysis should provide practicing managers with insights on how these practices and their benefits are related in terms of purchasing performance, thus affecting their ability to make better sourcing decisions.Originality/valueFills an important gap in the purchasing literature with respect to the area of supplier development. While there is much written about supplier development based on conceptual and case study research, this study is unique in that it is the first attempt to empirically model the relationships between different levels of supplier development and their impact on purchasing performance using a comprehensive set of practices.

Winning engaged consumers

2019 ◽  
Vol 33 (2) ◽  
pp. 456-476 ◽  
Author(s):  
Saleh Bazi ◽  
Alireza Hajli ◽  
Nick Hajli ◽  
Mohana Shanmugam ◽  
Xiaolin Lin
Keyword(s):  
Social Support ◽  
Information Sharing ◽  
Information Exchange ◽  
Structural Equation ◽  
Structural Model ◽  
Value Theory ◽  
Equation Modeling ◽  
Social Commerce ◽  
Content Type ◽  
Brand Engagement

Purpose Under the sunlight of social commerce, few concepts have blossomed like value co-creation. But when blurred strategies are implemented, the opportunity to wilt a brand is high. To avoid the miscues and the controversies, an ascendant step is to engage consumers with social commerce sites. The purpose of this paper is to propose three antecedents to engage consumers with social commerce sites, namely, social support, social commerce value and social commerce information sharing, and the effect of brand engagement on the intention of brand co-creation. Design/methodology/approach This study used survey data from 234 Iranians with experience using social commerce sites. Variance-based structural equation modeling using the partial least squares path modeling approach was adopted to analyze the structural model. Findings The authors found that social support, social commerce value and social commerce information sharing positively foster brand engagement. The study also revealed that brand engagement is a significant predictor of brand co-creation intention. Originality/value The study is the first study that considers and explains brand engagement from social support theory, social commerce value theory and social commerce information exchange. Also, the study shows how consumers can be an integral part of a brand. Unlike other studies which were done in industrialized countries, this study was employed in Iran.

Supply chain network and information sharing effects of SMEs’ credit quality on firm performance

2019 ◽  
Vol 32 (5) ◽  
pp. 714-734 ◽  
Author(s):  
Zulqurnain Ali ◽  
Bi Gongbing ◽  
Aqsa Mehreen
Keyword(s):  
Supply Chain ◽  
Firm Performance ◽  
Information Sharing ◽  
Structural Equation ◽  
Small And Medium Enterprises ◽  
Individual Characteristics ◽  
Equation Modeling ◽  
Hierarchical Regression ◽  
Content Type ◽  
Credit Quality

Purpose The purpose of this paper is to examine how a supply chain (SC) network helps small and medium enterprises (SMEs) to obtain liquidity and working capital for enhancing their performance while developing the relationships among SC members through information sharing. Moreover, this study also investigates whether a strong tie or bridge tie improves the availability of SMEs’ credit and performance. Design/methodology/approach Using a survey approach, data were collected from textile SMEs, located in Pakistan. Structural equation modeling and hierarchical regression model were run to validate the proposed model and the relationships. Findings Findings highlighted that strong tie and bridge tie of SMEs positively and significantly enhance the credit quality and SMEs’ performance. Furthermore, information sharing significantly moderates the relationship between SC network ties and SMEs’ credit quality. Credit quality significantly explains the indirect (mediation) association between the strong tie and the firm performance. Practical implications This study will help the SMEs’ entrepreneurs and SC executives to strengthen the liquidity position of SME and improve SMEs’ performance by developing the bridge ties. SMEs should share more information in their SC network while performing business transactions so that financers or lenders can easily access their operational capabilities and individual characteristics to offer them quality credit such as supply chain finance (SCF). Originality/value SMEs always face the issue of risk-free financing which adversely affects the firm performance. This study covered the hidden gap in SCM and SMEs’ financing literature by identifying the crucial role of SCF as quality credit in the development of SMEs. Moreover, SMEs can get benefits (e.g. quality credit=SCF) for better embedding in an SC network through information sharing.

Exploring the factors influencing the adoption of supply chain finance in supply chain effectiveness: evidence from manufacturing firms

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Jean-Noël Beka Be Nguema ◽  
Gongbing Bi ◽  
Zulqurnain Ali ◽  
Aqsa Mehreen ◽  
Christophe Rukundo ◽  
...  
Keyword(s):  
Supply Chain ◽  
Information Sharing ◽  
Financial Institutions ◽  
Manufacturing Firms ◽  
Equation Modeling ◽  
Manufacturing Firm ◽  
Content Type ◽  
Supply Chain Finance ◽  
Factors Influencing ◽  
External Collaboration

Purpose Several manufacturing firms are facing various internal concerns such as financial and operational issues, which strongly pushed the firms to search for solutions (e.g. supply chain finance; SCF) to sustain their supply chain operations and supply chain effectiveness (SCE). In this view, this study attempts to explore four key factors influencing the adoption of SCF, which, in turn, impacts SCE in Chinese manufacturing firms. Therefore, this study aims to propose that how information sharing, external collaboration, digitization and financial institutions enable manufacturing firms’ to adopt SCF that subsequently enhances SCE. Moreover, how supply chain risk (SCR) mediates the association between SCF adoption and SCE. Design/methodology/approach The current research recruited 177 Chinese manufacturing firms administrating a questionnaire to supply chain managers and tested the proposed conceptual model and associations using structural equation modeling. Findings The results reveal that all four factors are positively related to the adoption of SCF, which consequently improves the SCE of manufacturing firms. Moreover, the findings show that the effect of SCF significantly and positively impact SCE. Further, the result also confirmed that SCF significantly mitigates SCR, thereby leads to improves SCE. Research limitations/implications The current study mainly focuses on Chinese manufacturing firms, which may generate low generalizability. In addition, this study was based on a cross-sectional research design which may generate common method bias. Therefore, more comparative studies are needed between developed and developing countries to enhance the generalizability of the study findings. Practical implications This study provides significant new insights about how marketing managers and practitioners can adopt SCF in manufacturing firms via information sharing, external collaboration, digitization and financial institutions to mitigate firm risk and enhance SCE. Originality/value The approach used in this research differs from many of the previous studies and investigates the factors of adoption of SCF and their impact on SCE in the manufacturing firm sector within the context of the Chinese economy. Therefore, this research is an important guide for scholars, managers and executives of marketing, while providing them with a new model, significant insights which are significant in their organizations.

Information sharing, coordination and supply chain performance

2019 ◽  
Vol 119 (5) ◽  
pp. 1046-1071 ◽  
Author(s):  
Siyu Li ◽  
Xiling Cui ◽  
Baofeng Huo ◽  
Xiande Zhao
Keyword(s):  
Supply Chain ◽  
Information Sharing ◽  
Structural Equation ◽  
Demand Uncertainty ◽  
Mainland China ◽  
Equation Modeling ◽  
Supply Chain Performance ◽  
Content Type ◽  
Processing Theory ◽  
Strategic Coordination

PurposeThe purpose of this paper is to explore the effects that customer structured and unstructured information sharing (IS) can have on customer operational and strategic coordination and on supply chain performance (SCP). In addition, the study examines how customer IS influences customer coordination under various levels of demand uncertainty (DU).Design/methodology/approachThe conceptual model for this study is designed on the basis of information-processing theory (IPT). Using data collected from 622 manufacturers in mainland China and Taiwan, the theoretical model is tested using the structural equation modeling method.FindingsThe authors find that both customer structured IS and unstructured IS are positively associated with customer strategic coordination. Customer structured IS increases customer operational coordination, but customer unstructured IS does not. DU positively moderates the relations between customer unstructured IS and strategic coordination, and between customer structured IS and operational coordination. Also, DU negatively moderates the relationship between customer structured IS and strategic coordination. Customer strategic coordination is positively related to SCP and to operational coordination. Customer operational coordination has no significant impact on SCP.Originality/valueThis study deepens our understanding of customer IS by distinguishing between customer structured and unstructured IS. The study also provides a greater understanding of customer coordination by making a distinction between the customer strategic and the operational coordination. The findings extend the empirical application of IPT. In addition, this study’s findings direct SC managers to apply varied customer IS practices that can enhance specific kinds of customer coordination activities, thereby enabling improved SCP.

Understanding the emergence of wearable devices as next-generation tools for health communication

2016 ◽  
Vol 29 (4) ◽  
pp. 717-732 ◽  
Author(s):  
Eunil Park ◽  
Ki Joon Kim ◽  
Sang Jib Kwon
Keyword(s):  
Technology Acceptance ◽  
Structural Equation ◽  
Online Survey ◽  
Structural Model ◽  
Reliability And Validity ◽  
Wearable Devices ◽  
Motivational Factors ◽  
Equation Modeling ◽  
Adoption Process ◽  
Content Type

Purpose The purpose of this paper is to identify motivational factors for using wearable healthcare devices and examine the process by which these factors are integrated with the technology acceptance model (TAM) and contribute to the adoption of the devices. Design/methodology/approach An online survey assessed the proposed motivational factors for the adoption of wearable healthcare devices. Confirmatory factor analysis and structural equation modeling were conducted on collected data (n=877) to demonstrate the reliability and validity of the measurement and structural model. Findings Perceived control and interactivity of wearable healthcare devices as well as users’ innovative tendencies are positively associated with usage intention, while perceived cost has no significant effects on user intention to use the devices. The results also supported the explanatory strength and predictability of TAM. Originality/value Although the promising role of wearable devices in healthcare industries has gained much consumer attention, limited empirical investigations have been conducted on explicating how user attitude and usage intention are shaped regarding the devices. This study serves as one of the first attempts to empirically examine the adoption process, with implications for the future usage of wearable technology in the healthcare context.

Backward supply chain information sharing: who does it benefit?

2019 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Zhaojun Han ◽  
Baofeng Huo ◽  
Xiande Zhao
Keyword(s):  
Supply Chain ◽  
Supply Chains ◽  
Information Sharing ◽  
Structural Equation ◽  
Equation Modeling ◽  
Unequal Distribution ◽  
Content Type ◽  
Using Data ◽  
Sharing Behavior ◽  
Practical Implications

Purpose The purpose of this study is to explore the effect of backward supply chain information sharing (SCIS) on the performance of different parties along supply chains. Design/methodology/approach Using data collected from 617 Chinese manufacturers, this study examines the effect of information sharing from manufacturers to suppliers (ISMS) on supplier and manufacturer responsiveness in both two- and three-tier supply chains and the transferrable effect of information sharing from customers to manufacturers (ISCM) on supplier responsiveness. The authors use structural equation modeling and regression analysis to estimate the proposed relationships. Findings ISMS is positively related to supplier responsiveness in both two- and three-tier SCIS, whereas its effect on manufacturer responsiveness is conditional, indicating that upstream receiving parties benefit more from backward SCIS. ISCM is positively related to supplier responsiveness, demonstrating the transferable effect of backward SCIS. Practical implications When designing SCIS strategies, managers should take into account the unequal distribution of benefits from SCIS and the transferable effect of backward SCIS. Specifically, companies should always motivate their downstream partners to engage in SCIS, while they themselves need to be cautious with information sharing. They should also be aware that their information sharing behavior may benefit a third upstream party. Originality/value This study provides deep insights into the distribution of the benefits from SCIS among supply chain partners and suggests that the direction and the role supply chain partners play (as receiving or disclosing parties) in SCIS matter.

From owning to sharing: understanding the emergence of social sharing services

2017 ◽  
Vol 51 (2) ◽  
pp. 102-115 ◽  
Author(s):  
Heetae Kim ◽  
Kyu Ha Choi ◽  
Ki Joon Kim ◽  
Eunil Park
Keyword(s):  
Technology Acceptance ◽  
Structural Equation ◽  
Online Survey ◽  
Structural Model ◽  
Motivational Factors ◽  
Equation Modeling ◽  
Privacy Concern ◽  
Car Sharing ◽  
Content Type ◽  
Social Sharing

Purpose The purpose of this paper is to identify the motivational factors that help shape user perceptions of and attitudes toward car-sharing services and develop a research model that integrates these factors with the technology acceptance model to explicate car sharing’s adoption pattern. Design/methodology/approach An online survey was administered to examine the role of proposed motivational factors for the adoption of wearable healthcare devices. Confirmatory factor analysis and structural equation modeling were conducted on collected data (n=638) to demonstrate the reliability and validity of the measurement and structural model. Findings Perceived reliability, compatibility, and enjoyment of car-sharing services as well as users’ innovative tendencies are positively associated with usage intention. However, users’ privacy concern and perceived cost of using the services are found to have no significant effects on the adoption of the services. Originality/value While the recent advent of mobile communication devices and services has increased access to social sharing-based platform services such as car sharing, this study provides a research framework that helps to understand how various psychological factors contribute to the adoption of a social-sharing service.

Drivers of logistics outsourcing: examining transaction costs, core competences and planned behavior

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Oskari Rintala ◽  
Tomi Solakivi ◽  
Sini Laari ◽  
Juuso Töyli ◽  
Lauri Ojala
Keyword(s):  
Supply Chain ◽  
Planned Behavior ◽  
Structural Equation ◽  
Structural Model ◽  
Third Party ◽  
Equation Modeling ◽  
Manufacturing Companies ◽  
Logistics Outsourcing ◽  
Content Type ◽  
The Core Competence

PurposeThis study aims to investigate the extent to which psychological factors and the agency of decision-makers drive outsourcing decisions. Arguments based on transaction cost economics, the core competence approach and the theory of planned behavior are used to explain logistics outsourcing.Design/methodology/approachThe literature was reviewed to identify constructs that are antecedents of logistics outsourcing intentions, and corresponding measures were developed. The data were gathered through a survey of supply chain professionals in Finnish manufacturing companies. A measurement model was reviewed to ensure reliability and validity and converted into a structural model for analysis. The analysis was based on partial least squares (PLS) structural equation modeling.FindingsSupply chain managers objectively consider the characteristics of their organization's logistics identified in previous research as requiring assessment during the outsourcing process. However, and surprisingly, they also tend to rely on behavioral subjective factors such as positive attitudes, encouraging subjective norms and competence. Moreover, it seems that firms do not outsource logistics activities despite the high strategic importance of the function, but because of it.Research limitations/implicationsThe constructed model is limited to the constructs chosen to represent drivers of logistics outsourcing. Further application with more samples would improve its reliability.Practical implicationsThe factors proposed here with respect to assets and the capabilities of third-party partners could facilitate decision-making related to logistics outsourcing.Originality/valueThe findings emphasize the role of behavioral factors in the procurement function and therefore enhance the understanding of behavioral supply chain management.

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