Improving supply chain performance through industry standards use and community socialization

2016 ◽  
Vol 46 (8) ◽  
pp. 763-782 ◽  
Author(s):  
Yun Xu ◽  
Jiafen Liu ◽  
Jing Wu ◽  
Chuan Luo
Keyword(s):  
Supply Chain ◽  
Structural Equation ◽  
Design Methodology ◽  
Equation Modeling ◽  
Research Model ◽  
Organizational Boundaries ◽  
Content Type ◽  
Industry Standards ◽  
Research Gap ◽  
The Empirical Analysis

Purpose The purpose of this paper is to examine how use of industry standards and community socialization contribute to the operational, strategic and environmental performances of supply chain partners. Design/methodology/approach Survey data were collected from 216 firms in China that have implemented RosettaNet standards. Structural equation modeling was used to test the hypotheses forming the research model. Findings The empirical analysis suggests that use of industry standards and community socialization is central to achieving greater supply chain performances. The results show that the use of industry standards and community socialization enhance inter-organizational knowledge sharing and trust, which eventually improve performances of supply chain partners. Originality/value The study makes several contributions to the literature. First, it highlights the importance of standards consortia, which not only develop and promote industry standards, but also improve community socialization. Second, the research examines how use of industry standards could influence the operational, strategic and environmental performances of supply chains, and thus fills the research gap in related literature. Third, this paper explores how industry standards can be used as boundary objects to span organizational boundaries and enable greater supply chain partnerships.

The impact of the uses and gratifications of tourist attraction fan page

2018 ◽  
Vol 28 (3) ◽  
pp. 587-603 ◽  
Author(s):  
Kevin K.W. Ho ◽  
Eric W.K. See-To
Keyword(s):  
Structural Equation ◽  
Design Methodology ◽  
Uses And Gratifications ◽  
Equation Modeling ◽  
Tourist Attraction ◽  
Content Type ◽  
Tourist Attractions ◽  
Research Gap ◽  
The Impact ◽  
Smart Tourism

Purpose The fan page of social network site can be used as a platform for the tourist attractions to interact with their consumers. The purpose of this paper is to investigate how entertainment, informativeness, and socializing gratifications affect a user’s attitude toward a tourist attraction fan page in the context of smart tourism, on which scant research has been conducted so far. Design/methodology/approach The authors investigate how entertainment, information, and socialization gratifications affect a user’s attitude toward a tourist attraction fan page of Hong Kong youth in the context of smart tourism using structural equation modeling. Findings The authors show that three aspects of gratifications, i.e., entertainment, informativeness, and socializing, have significant impacts on a user’s attitude toward a tourist attraction fan page, which subsequently has an impact on intention to visit the attraction through a user’s attitude toward a tourist attraction developed through his/her attitude toward a fan page. Originality/value Scant research has been conducted to study how uses and gratifications affect a user’s attitude toward a tourist attraction fan page in the context of smart tourism. This research fills this research gap.

Exploring the role of intellectual capital in supply chain intelligence integration

2018 ◽  
Vol 118 (5) ◽  
pp. 1018-1032 ◽  
Author(s):  
Yongyi Shou ◽  
Wenjin Hu ◽  
Yongmei Xu
Keyword(s):  
Supply Chain ◽  
Intellectual Capital ◽  
Structural Equation ◽  
Design Methodology ◽  
Primary Data ◽  
Equation Modeling ◽  
Relational Capital ◽  
Content Type ◽  
Structural Capital

Purpose The purpose of this paper is to explore the role of intellectual capital (IC) in supply chain intelligence integration (SCII) and the interrelationships of the three components of IC (i.e. human capital (HC), structural capital (SC) and relational capital (RC)) in the supply chain context. Design/methodology/approach This paper conducted an empirical study by using primary data from 389 sample firms. The authors applied structural equation modeling to test the proposed hypotheses. Findings The results indicate that both HC and RC have direct impact on SCII, whereas SC only influences SCII through RC. Originality/value This study evidences that IC is an enabler of SCII. Furthermore, this study reveals the interrelationships of human, structural and RC.

Enhancing supply chain resilience: an empirical investigation

2019 ◽  
Vol 1 (1) ◽  
pp. 47-62 ◽  
Author(s):  
Bardia Naghshineh ◽  
Maryam Lotfi
Keyword(s):  
Supply Chain ◽  
Structural Equation ◽  
Stock Exchange ◽  
Decision Makers ◽  
Equation Modeling ◽  
Survey Method ◽  
Future Research ◽  
Research Model ◽  
Content Type ◽  
Supply Chain Resilience

PurposeSupply chain resilience (SCR) has recently become an important issue for organizations all around the world. In order to decrease the risk of failures, managers and decision makers are constantly looking for practices to enhance SCR. The purpose of this paper is to propose a research model that mainly focuses on the effect of information sharing (IS) to enhance SCR.Design/methodology/approachSurvey method is used in this research. Data were collected from the supply chain, procurement, executive and IT managers of 82 of Tehran’s stock exchange production companies. Structural equation modeling with SmartPLS3 software is used to analyze the collected data.FindingsResearch results show that IS significantly enhances SCR.Research limitations/implicationsData were collected at one point in time, and therefore a longitudinal study can further investigate the results of this study. The research was carried out in production companies in Iran. Future research can examine the research model in other industry sectors, e.g. services, in other countries to validate the accuracy of the findings.Practical implicationsThe findings of this research should help managers, and decision makers create more resilient supply chains for their own and partners’ organizations.Originality/valueThe research model provides insightful results regarding the significance of IS in the SCR context.

YouTube channels influence on destination visit intentions

2020 ◽  
Vol 12 (1) ◽  
pp. 23-42
Author(s):  
Neelika Arora ◽  
Suman Lata
Keyword(s):  
Structural Equation ◽  
Design Methodology ◽  
Equation Modeling ◽  
Research Model ◽  
Content Type ◽  
Source Expertise ◽  
Indian Context ◽  
Past Experiences ◽  
Practical Implications ◽  
Information Adoption

Purpose With the usage of social media and Web 2. 0, YouTube channels currently play a pivotal role in supporting a traveler’s destination visit. Travelers create their YouTube channels and share their past experiences in the form of videos, which helps other potential travelers to support their destination visit. The purpose of this paper is to understand how travelers adopt information through YouTube channels and how it influences the traveler’s intention to visit a destination. Design/methodology/approach A research model was constructed and empirically tested by using a sample of 486 respondents who watch YouTube channels before visiting a destination. Further, the hypotheses of this study were validated with the help of structural equation modeling using partial least squares. The respondents in this study were from Delhi. Findings This paper found comprehensiveness, relevance, timeliness, source expertise and attitude as the most significant predictors of a traveler’s destination visit intention through YouTube channel adoption. Further, source trustworthiness and accuracy were not found to be statistically significant. Research limitations/Implications The findings of this paper were based on data taken from the local respondents in Delhi. Further, it analyzed the influence of only seven dimensions on destination visit intention, which could have excluded some important factors that influence tourists’ destination visit intention. Practical implications This paper has provided implications for YouTube vloggers and tourists. The result proves that while making decisions regarding destination visit, tourists thinks critically and scrutinize the content of YouTube channels prior to deciding a destination. So, vloggers should provide relevant, comprehensive and accurate destination information through their videos to tourists. Originality To the best of authors’ knowledge, this paper is the first in the Indian context to examine the adoption of YouTube channels before visiting destinations through information adoption models with additional constructs.

India’s lonely and isolated consumers shopping for an in-store social experience

2018 ◽  
Vol 36 (7) ◽  
pp. 722-736 ◽  
Author(s):  
Brent Smith ◽  
Cindy B. Rippé ◽  
Alan J. Dubinsky
Keyword(s):  
Social Isolation ◽  
Purchase Intention ◽  
Structural Equation ◽  
Design Methodology ◽  
Equation Modeling ◽  
Research Model ◽  
Content Type ◽  
Adaptive Selling ◽  
Emotional Loneliness ◽  
Indian Consumers

Purpose The purpose of this paper is to investigate how social loneliness, emotional loneliness and social isolation relate to Indian consumers’ enjoyment of social interaction with an in-store salesperson. Design/methodology/approach Over 300 Indian respondents are surveyed about personal disposition, shopping experiences and other factors. The research model and hypotheses are evaluated utilizing partial least squares structural equation modeling. Findings As posited, Indian consumers dealing with loneliness and social isolation tend to enjoy in-store shopping experiences involving personal interactions with salespersons. Further, salespersons’ adaptive selling relates positively to consumers’ predisposition to comply with salesperson input and three outcomes (i.e. trust in salesperson, purchase intention and retail patronage). Originality/value This study fills a void in current marketing and retailing literature, providing one of the first known empirical investigations of consumers’ experiences with loneliness and social isolation. Overall, the study shows that store-based retailers within culturally collectivistic emerging markets can capitalize on their unique ability to attract and retain shoppers through in-store salesperson interactions.

Contemporary process to test the theory of a research model through covariance-based structural equation modeling in business research

2015 ◽  
Vol 27 (4) ◽  
pp. 447-458 ◽  
Author(s):  
Göran Svensson
Keyword(s):  
Structural Equation Modeling ◽  
Iterative Process ◽  
Structural Equation ◽  
Design Methodology ◽  
Test Theory ◽  
Equation Modeling ◽  
Research Model ◽  
Business Research ◽  
Content Type ◽  
Practical Implications

Purpose – The purpose of this paper is to describe potential flaws and pitfalls in the contemporary process of testing the theory of a research model in business research through the use of covariance-based structural equation modeling (CB-SEM). Design/methodology/approach – This paper offers a foundation for discussion, debate and questioning regarding the contemporary process of testing the theory of a research model in business research through CB-SEM. Findings – The contemporary process to test theory of a research model through CB-SEM in business research lacks to a large extent a stepwise and iterative process of an accumulation of knowledge to build sound and rigorous business theory that is both reliable and valid over time as well as across contexts. Research limitations/implications – This paper provides an awakening toward further debate and discussion on the relevance and suitability of the contemporary process to test the theory of a research model through CB-SEM in business research – is it science, quasi-science or just nonsense? Practical implications – The primary implication of this paper is that its content will challenge most readers ' preconceptions of the topic and stimulate debate. Subsequently, it is the author’s hope that the content is thought-provoking and counterintuitive. Some scholars might reject the content, while others may find it valuable. Originality/value – The paper intends to provide counterintuitive thoughts regarding the contemporary process of testing the theory of a research model in business research through the use of CB-SEM. CB-SEM offers potentially valuable merits in business research settings, if applied and performed properly.

Enhancing effects of supply chain resilience: insights from trajectory and resource-based perspectives

2017 ◽  
Vol 22 (4) ◽  
pp. 329-340 ◽  
Author(s):  
Jao-Hong Cheng ◽  
Kuo-Liang Lu
Keyword(s):  
Supply Chain ◽  
Supply Chains ◽  
Coping Strategies ◽  
Absorptive Capacity ◽  
Structural Equation ◽  
Equation Modeling ◽  
Research Model ◽  
Organizational Relationships ◽  
Content Type ◽  
Supply Chain Resilience

Purpose This paper aims to examine the operating frontier, trajectory and absorptive capacity influencing proactive and reactive dimension of supply chain resilience and implementation in inter-organizational relationships. Design/methodology/approach This paper presents a research model comprises six research hypotheses with five constructs, including trajectory, absorptive capacity, operating frontier, proactive and reactive dimension of supply chain resilience. The hypotheses are tested on data collected from 297 senior managers of Taiwanese manufacturing firms, using structural equation modeling. Findings The study provides insights into how supply chain members can reinforce their operating frontier, trajectory and absorptive capacity activities to improve proactive and reactive dimension of supply chain resilience. Research limitations/implications The resultant findings cannot be generalized for all forms of supply chains, as they exclusively reflect those in Taiwan. With the research model developed, cross-industrial studies on various forms of supply chains would be worth conducting to investigate whether their inter-relationship effects differ in relation to inter-organizational supply chain resilience. Practical implications This study provides multiple insights for managers and practices seeking to improve inter-organizational supply chain resilience, which have become increasingly popular because their factors enhance coping strategies to achieve corporate goals. The proactive and reactive dimension of supply chain resilience can be effectively improved by enhancing trajectory, absorptive capacity and operating frontier. Originality/value This empirical research attempted to fill the gaps created by trajectory and resource-based perspectives in inter-organizational supply chain resilience. This study reveals how supply chain members can reinforce the factors of their coping strategies (i.e. operating frontier, trajectory and absorptive capacity) to make significant improvements, which is not dealt with in previous studies.

Investigating the impacts of ISO 9001 certification on lean manufacturing and supply chain relationship: an empirical analysis

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Assadej Vanichchinchai
Keyword(s):  
Supply Chain ◽  
Structural Equation Modeling ◽  
Empirical Analysis ◽  
Lean Manufacturing ◽  
Structural Equation ◽  
Design Methodology ◽  
Management Practices ◽  
Iso 9001 ◽  
Equation Modeling ◽  
Content Type

Purpose This research examines the impacts of ISO 9001 certification on lean manufacturing (LM), supply chain relationship (SCR) and their sub-constructs Design/methodology/approach Data was collected from 516 manufacturers in Thailand. Structural equation modeling was applied to analyze the hypotheses Findings It was found that ISO 9001 certification significantly affects overall LM, its facility and quality sub-constructs, overall SCR, its supplier coordination, customer collaboration and customer coordination sub-constructs. ISO 9001 has insignificant impacts on production, purchasing and distribution of LM, and supplier collaboration of SCR. Originality/value This study is one of the first research to present insights into the impacts of ISO 9001 as a certificate rather than as a set of management practices on LM, SCR and their sub-constructs

Impact of supplier development on supplier’s performance

2018 ◽  
Vol 118 (6) ◽  
pp. 1192-1208 ◽  
Author(s):  
Alfred Bo Shing Lee ◽  
Felix T.S. Chan ◽  
Xiaodie Pu
Keyword(s):  
Structural Equation ◽  
Design Methodology ◽  
Equation Modeling ◽  
Supplier Development ◽  
Survey Questionnaire ◽  
Collaborative Culture ◽  
Content Type ◽  
The Impact ◽  
The Empirical Analysis ◽  
Selection Of

Purpose The purpose of this paper is to explore the impact of supplier development (SD) on supplier’s performance by sharing implicit knowledge in mentorship under the influence of supplier’s organizational culture (OC). Design/methodology/approach A survey questionnaire was employed to collect data from 226 employees of participating suppliers after conducting mentorship training at the suppliers’ site. The data were analyzed by the partial least squares structural equation modeling with software SmartPLS Ver. 3.0. Findings The empirical analysis indicates that SD by mentorship partially mediates the total effects of OC – power distance and uncertainty avoidance – on performance. It completely mediates the collaborative culture on performance. Originality/value This study may confirm that the SD program by mentorship is a viable strategy to enhance the performance of supply chain partners and the selection of suppliers.

Path analysis for proposed framework of SCM excellence in Indian manufacturing industry

2016 ◽  
Vol 27 (4) ◽  
pp. 577-611 ◽  
Author(s):  
Gunjan Soni ◽  
Rambabu Kodali
Keyword(s):  
Supply Chain ◽  
Path Analysis ◽  
Structural Equation ◽  
Design Methodology ◽  
Manufacturing Industry ◽  
Structural Models ◽  
Statistical Testing ◽  
Model Fit ◽  
Content Type ◽  
Equation Modelling

Purpose – Several authors in extant literature have shown concern towards lacuna in availability of standard constructs in supply chain management (SCM). These standard constructs can represent pillars of SCM excellence. However, frameworks on SCM excellence unlike its contemporary fields are very few. Thus the purpose of this paper is to develop a path analysis for proposed framework of SCM excellence in Indian manufacturing industry proposed by Soni and Kodali (2014) using interpretive structural modelling (ISM) and structural equation modelling (SEM). Design/methodology/approach – The ISM is performed on two exemplary cases of supply chain in Indian manufacturing industry. These cases were selected on the consideration of supply chain excellence index (SCEI), based on the results of an empirical study conducted by Soni and Kodali (2014) in Indian manufacturing industry. The focal manufacturing company which exhibited lowest and highest SCEI were selected as contenders for developing ISM. The relationships among pillars and constructs of SCM excellence framework are obtained from ISM, and later are subjected to statistical testing of model fit by using SEM. The input to SEM was the respondent’s data used in previous study. Findings – The major findings revealed that ISM based on focal company having highest SCEI, is statistically fit for SCM excellence framework, and finally the structural models of the constructs for each pillar of SCM excellence are also formed by using path analysis. Originality/value – The study offers a unique managerial approach for analysing the underlying relationships between pillars of SCM excellence. Researchers can use this study for developing frameworks in various realms of SCM excellence.

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